In progress – view active session
Conference 13083
SPIE Future Sensing Technologies
22 - 24 April 2024 | Room 411/412
View Session 
Session 1:
Image Processing
22 April 2024 • 09:00 - 10:25 Japan Standard Time | Room 411/412
Session Chair:
Joseph A. Shaw, Montana State Univ. (United States)
13083-1
Computational image sensing at Sony
(Keynote Presentation)
22 April 2024 • 09:00 - 09:45 Japan Standard Time | Room 411/412
Show Abstract +
In this talk, we will provide an overview of Sony's cutting-edge sensors that offer special functionalities. We will explore the exciting possibilities that arise when they are combined with advanced AI and signal-processing techniques. Our talk will showcase the latest research and development updates from Sony, highlighting the diverse range of applications that can be achieved through this powerful synergy.
13083-2
On demand | Presented live 22 April 2024
Show Abstract +
Optical neural network (ONN), which realizes NN by diffraction and propagation of light, has attracted attention as an implementation method with ultra-high speed and low power consumption. We demonstrated the possibility of detection by ONN. Simulations and experiments were conducted for one and multiple detection targets. The experiments used SLM to implement the data-input layer as phase input and the diffraction layer. The precision for the 574 input data was 97.6 % in the simulation and 95.4 % in the experiment. The root mean square error between the inferred and the correct position was 2.24 % of the target size. The inference process finished within 4.17 msec (the response time of the CMOS of this setup).
13083-3
On demand | Presented live 22 April 2024
Show Abstract +
Quantum computers are expected to be the next-generation computers in various fields. Quantum computers are different from classical computers, which store the current binary information of 0 and 1. Quantum computers can use quantum superposition, which can hold 0 to 1 probability as continuous quantities in one qubit by using the superposition state of qubits. Therefore, existing algorithms are not necessarily efficient computational algorithms on quantum computers. GPU-based quantum simulations, such as cuQuantum, have recently been released to develop quantum algorithms. This paper focuses on quantum image processing, presents how far quantum image processing can be efficiently described today and verifies on GPUs that multiple image processing can be described using cuQuantum.
Break
SPIE Paper 13083-4, "How down-sampling affects supervised-learning-based image super-resolutions," is now an on demand poster (see Digital Poster session); formerly scheduled at 10:25 - 10:45
Break
Coffee Break 10:25 - 11:15
Session 2:
Polarization-based Sensors
22 April 2024 • 11:15 - 12:35 Japan Standard Time | Room 411/412
Session Chair:
Christopher R. Valenta, Georgia Tech Research Institute (United States)
13083-5
On demand | Presented live 22 April 2024
Show Abstract +
The optical-rotation-encoded snapshot multispectral imager combines an optical rotator and polarizer with a color polarization camera, allowing up to 12 band images to be reconstructed in a single snapshot. This approach provides a compact system for spectral imaging, but requires computational reconstruction in order to estimate scene spectra. After reviewing the system architecture, we show experimental results and discuss performance. This system can be used as a simple platform for testing ideas of how we should analyze computational systems: their robustness, accuracy, and reliability.
13083-6
On demand | Presented live 22 April 2024
Show Abstract +
Hyperspectral imaging, which consists in imaging a scene at a large number of wavelengths, has several applications, such as mineral identification, target detection, or gas concentration measurement. Several current remote sensing missions require compact instruments and the ability to measure the information with a single acquisition (snapshot). One way to achieve this snapshot configuration is to combine an interferometer and a lenslet array. A hyperspectral instrument using a birefringent interferometer operating in the visible/near-infrared wavelength band [500 nm: 850 nm] is presented. It has the advantages of being compact as the interferometer is placed close to the focal plane array. Additionally, we use a 4-Directional Wire Grid Polarizer Array integrated to the focal plane array: such a device enables the measurement of the two complementary interferogram and of a fringe-free image in a single acquisition, which facilitates the spectral image reconstruction.
Show Abstract +
The polarization of light is one of the fundamental concepts used in fiber optic sensors. Combination of polarization measurement and interferometry seems to be promising concept of future fiber optic based sensors. We have developed a cheap and easy concept of fiber optic precise length measurement which is needed for construction of fiber ring resonators used as the light source for this combined type of sensors. This paper presents a detailed description of the measurement setup, calibration and measurement.
13083-8
On demand | Presented live 22 April 2024
Show Abstract +
Montana and similar regions contain numerous rivers and lakes that are too small to be spatially resolved by satellites that provide water quality estimates. Unattended Aerial Vehicles (UAVs) can be used to obtain such data with higher spatiotemporal resolution. Water properties are traditionally retrieved from passively measured spectral radiance, but polarization has been shown to improve retrievals of the attenuation-to-absorption ratio to enable calculation of the scattering coefficient for in-water particulate matter. This improves retrievals of other parameters such as the bulk refractive index and particle size distribution. This presentation describes experiment to develop a data set for water remote sensing using combined UAV-based hyperspectral and polarization cameras supplemented with in-situ sampling at Flathead Lake in Montana and the results of preliminary data analysis. A symbolic regression model was used to derive two equations: one relating polarization data to chlorophyll content, and one relating polarization data to the attenuation-to-absorption ratio.
Break
Lunch Break 12:35 - 14:05
Session 3:
Satellite Remote Sensing
22 April 2024 • 14:05 - 15:45 Japan Standard Time | Room 411/412
Session Chair:
Joshua B. Broadwater, Johns Hopkins Univ. Applied Physics Lab., LLC (United States)
13083-9
22 April 2024 • 14:05 - 14:25 Japan Standard Time | Room 411/412
Show Abstract +
Accurate quantification of forest cover loss is essential for assessing the effectiveness of environmental policies and reducing the uncertainty of carbon emissions estimates. In this regard, the Google Earth Engine cloud-based platform was conducted to extract data products from satellite images to quantify and analyze the changes in forest cover loss within Guangdong province from 2001 to 2019. The results show that the forest loss area was far more than the forest gain area within Guangdong province from 2001 to 2019, and the forest loss area was 12499.37 km2. The total area of forest area in 2016 was 1384.12 km2 with the highest value, and the total area of forest loss from 2004 to 2019 was greater than 2001-2003. Further, one-way ANOVA analysis after the normality test showed that there was a significant difference in mean and variance of forest cover loss, and the forest cover loss was significantly different in different cities and yeas. The efficient and open-access image analysis workflow provides a fast and reliable method to remotely analyze the forest cover changes.
13083-10
22 April 2024 • 14:25 - 14:45 Japan Standard Time | Room 411/412
Show Abstract +
The Air Quality Index is a mechanism for clearly explaining the status of the air quality to the general public. It simplifies complicated information about the air quality caused by different contaminants into a single number (index value), nomenclature, and colour. Poor air quality in cities are caused by a complex interaction of anthropogenic and natural environmental factors. New Delhi, the capital of India, is one of the many Indian cities with air pollution problems. Growing industrialization, an increasing number of vehicles on the road, loose emission controls, and a restricted usage of catalytic converters all contribute to the production of a substantial amount of particulate matter and hazardous gases. Sentinel-5 satellite imagery data which mainly focuses on different type of parameters has been used for air quality monitoring of New Delhi. Based on this methodology, the concentration of greenhouse gases (GHGs) has been studied which had a significant effect on the rising temperature and depleting the air quality. The focus of the current study is also on the factors contributing to poor air quality, their effects, and related mitigation strategies.
13083-11
On demand | Presented live 22 April 2024
Show Abstract +
Flood is one of the most frequent and damaging natural disasters that has damaged human life, properties, infrastructure, environment, and socio-economic losses. This study used various open-source remote sensing data and state-of-the-art machine learning algorithms for flood susceptibility mapping and risk assessment in the Nam Ngum basin, Lao PDR. We utilized a comprehensive dataset comprising optical, radar, topographic, environmental, hydrological, and anthropological data from various satellite sources to develop a flood inventory map. Eleven flood factors were considered. With 776 samples, 70% were trained, and 30% tested the model. Flood susceptibility map accuracy is assessed using statistical techniques such as multicollinearity, Kappa index, and area under the curve of receiver operating characteristics (AUROC). The RF model outperforms SVM and ANN based on receiver operating characteristics. The findings of this study provide essential insights for policymakers, aiding in disaster risk reduction and facilitating sustainable development planning in Lao PDR.
13083-12
On demand | Presented live 22 April 2024
Show Abstract +
Deformation monitoring of dam infrastructure and slopes surrounding the reservoir is essential for the maintenance and sustainable operation of the dam. Interferometric Synthetic Aperture Radar (InSAR) based monitoring is a promising remote sensing geospatial technology for effective monitoring of dam structures and reservoir rims with an accurate measurement of displacement at mm-level accuracy. In this study, the SBAS-InSAR method was used for data processing, and monitoring deformations at a dam and its reservoir rim, located in the Indian Himalayas. We found several sites around the reservoir having a noticeable mean line of sight deformation rate of 30 mm/yr to -30 mm/yr for ascending and +45 to -45 mm/yr for descending orbit. Results demonstrate a trend of deformation at the dam body and cumulative Line of Sight (LOS) deformation values reach up to -40 to +40 mm.
13083-13
22 April 2024 • 15:25 - 15:45 Japan Standard Time | Room 411/412
Show Abstract +
Snow is the component of the Cryosphere with the largest seasonal variation in spatial extent. In fact accumulation and rapid melt of snow are two of the most dynamical seasonal environmental changes on the Earth’s surface. The large scale changes in snow cover are useful as indicators of climatic changes, snow also affects other components of the Earth system at a variety of scales. The main aim of the presented research is to trace the use of different satellite data and approaches to track the dynamics of the development of the snow coverage.The subject of the study is snow coverage and its dynamics for different seasons around Vitisha and Rila Mountain.
The objects were analyzed and mapped according to Еuropean Space Agency data ( ESA )- Copernicus program.Results have been obtained for quantitative changes of wet snow cover and its dynamics. The data used are with a high time-spatial resolution. The SAR capabilities for snow monitoring are known to be extremely effective in terms of observation frequencies . The snow mapping system has sufficient time and spatial resolution and could be valuable as the outbreak of snow during the melting season is of great interest and it must
Break
Coffee Break 15:45 - 16:15
Session 4:
Spectral Imaging
22 April 2024 • 16:15 - 17:15 Japan Standard Time | Room 411/412
Session Chair:
Giuseppe Bonifazi, Sapienza Univ. di Roma (Italy)
13083-14
On demand | Presented live 22 April 2024
Show Abstract +
Space missions typically generate various types of waste, including metals, nonmetals (such as plastics, foams, and packaging materials), and liquids (such as water, beverages, and chemicals). Reusing and/or recycling directly in space offers a sensible compromise between monetary gain and technological advancement. The main aim of this work is to perform a full characterization of different space waste materials, in order to realize their identification, categorization, and classification in a recycling perspective. To reach this goal, an innovative sensing technique, based on the utilization of a Hyperspectral Imaging (HSI) device working in the NIR region (1000-1700 nm), is proposed. The application of these techniques can be a useful tool for material identification and categorization in the space waste recycling sector addressed to implement a proper implementation operation flowchart and/or for the selection of production equipment (such as shredders, classifiers, separators, extruders, etc.) to be used in space.
13083-15
22 April 2024 • 16:35 - 16:55 Japan Standard Time | Room 411/412
Show Abstract +
The monitoring of water vapor dynamics and evapotranspiration provides feedback for vegetation and crop water requirements. Many current evapotranspiration techniques heavily relay on satellite imagery, temperature distribution and incorporated into estimation models. The work presented here is based on a direct water vapor change monitoring using snapshot SWIR and NIR spectrometers utilizing custom fiber bundles. These bundles have dense input and sparse output creating void spaces for spectral information and allow recording of spatial-spectral data cube information in parallel at the CMOS/CCD cameras. SWIR / NIR snapshot spectrometers were packaged and ruggedized for field imaging. The number of spatial samples is adaptable within 8000~ 35,000 range and spectral sampling 20-50 values. SWIR system allowed 1050-1300 nm spectral range while NIR 650-1000nm, applying 1130nm and 940nm absorption windows respectively. We performed and present series of experiments including controlled reference measurements and field tests.
13083-16
On demand | Presented live 22 April 2024
Show Abstract +
Showing multi spectral videographic data fusion from one high energy arcing fault (HEAF) experiment synchronized data. The data collected is sourced from high speed visible, MWIR and LWIR cameras with the different views of the experiment. The data is being used by the NRC and its partner to understand the events occurring during the experiment. The presentation will dissect two experiments and describe the different events occurring during their duration. The presentation will compare the behavior of equipment that contains aluminum components versus the ones containing copper or steel.
Session 5:
Sensor Calibration & Characterization
22 April 2024 • 17:15 - 17:55 Japan Standard Time | Room 411/412
Session Chair:
Christopher R. Valenta, Georgia Tech Research Institute (United States)
13083-17
On demand | Presented live 22 April 2024
Show Abstract +
Camera calibration is a fundamental technology for image measurement. Calibration using 2D planar patterns is the de facto standard, and is performed by displaying and detecting patterns such as a circle pattern or a checkerboard pattern, and calibrating based on the correspondence between the coordinates of the patterns. Recently, the patterns are often displayed on a liquid crystal display (LCD). While many previous papers have focused on the detection method, this paper focuses on the display method. This is because LCDs have coarser dots per inch than printing devices. In this paper, we propose a method for drawing circular patterns on LCD that accurately and fast detects feature points based on the Gauss circle problem. Experimental results show that the proposed method is 4 times more accurate and 2.5 times faster than previous drawing methods.
13083-18
On demand | Presented live 22 April 2024
Show Abstract +
In this work, we have developed a new non-destructive optical technique that can be used to measure the spectral reflectance of anti-reflective coated ophthalmic lenses based on modified spectral confocal microscopy. The critical procedure of this technique is that the confocal probe must be placed at the same distance from the reflectance standard and the lens sample. For a confocal probe made of a 10x-objective, a reflectance’s mean relative error of 1.5% in the wavelength region of 400 nm – 700 nm can be archived, provided that the probe-to-sample distance is within +- 10 um from the pre-determined distance. The proposed confocal method could be routinely used for spectral reflectance measurement of the coating quality of ophthalmic lenses and other transparent optical elements non-destructively.
Session 6:
Active Systems
23 April 2024 • 09:20 - 11:40 Japan Standard Time | Room 411/412
Session Chair:
Joseph A. Shaw, Montana State Univ. (United States)
13083-19
Development of a highly-sensitive interferometer for laser ultrasonic testing of minute defects in metal materials
(Keynote Presentation)
On demand | Presented live 23 April 2024
Show Abstract +
We report the development of a highly sensitive interferometer for ultrasonic measurement and its application in laser ultrasonic testing of minute defects on the surface and within the internal structure of metal materials. The sensitivity of the interferometer is enhanced by amplifying optical source power and eliminating stray light, reaching a noise-equivalent surface displacement of 1.1e-6 nm/sqrt(Hz). We successfully applied the interferometer to detection of line defects as narrow as 100 μm on the backside of a steel plate and surface cracks with a width of 0.5 μm. These results demonstrate the potential of our laser ultrasonic system in detecting minute defects.
13083-20
CANCELED: Graph-based Object Classification Techniques for Autonomous vehicles
23 April 2024 • 09:30 - 09:50 Japan Standard Time | Room 411/412
Show Abstract +
As the automotive industry evolves, visual perception systems to provide awareness of surroundings to autonomous vehicles have become vital. Conventional deep neural networks have been effective on 2D Euclidean problems during the previous decade. However, analyzing point clouds, particularly RADAR data, is not well-studied due to their irregular structures and geometry, which are unsuitable for 2D signal processing. To this end, we propose graph signal processing (GSP) based classification methods for RADAR point clouds. GSP is designed to process spatially irregular signals and can directly create feature vectors from graphs. To validate our proposed methods experimentally, publicly available nuScenes and RadarScenes point cloud datasets are used in our study. Extensive experiments on these challenging benchmarks show that our proposed approaches outperform state-of-the-art baselines.
13083-21
23 April 2024 • 09:50 - 10:10 Japan Standard Time | Room 411/412
Show Abstract +
The existing nondestructive testing (NDT) technology is difficult to accurately detect the corrosion in steel structures. A novel non-contact terahertz time-domain spectroscopy (THz-TDS) is therefore proposed to measure the corrosion thickness under different coatings, which provides a method to quantify the corrosion degree of steel structures. The experiments show that the delay time difference corresponding to the transmission signal amplitudes exhibits a linear relation with the refractive index, and the refractive indexes are 2.80 (corrosion products), 1.94 (epoxy resin), 2.18 (rubber) and 2.04 (cement paste), respectively. The reflected signal can accurately measure the corrosion layer with thickness greater than 40 μm. The THz-TDS shows the ability to estimate the corrosion of coated steel structures, and to accurately measure the corrosion thickness with an accuracy of more than 90% irrespective of the surface coating materials. It proves the applicability and accuracy of THz-TDS for NDT corrosion thickness of coated steel structures.
13083-22
On demand | Presented live 23 April 2024
Show Abstract +
Solid state beam steering is the predominate technique for light detection and ranging (LIDAR). In the field of solid state beam steering devices, the commercial mass production device liquid crystal on silicon spatial light modulator (LCOS-SLM) for beam steering are attracting a lot of engineer attention but beam steering efficiency and speed are limited by the optical diffraction principals according to characteristic of SLM. Although ample studies have been conducted on the concept of beam steering by commercial LCoS-SLM and analyze the performance of beam steering, no work has succeeded in realization of SLM beam steering techniques for LIDAR range detection with field of view (FOV) larger than 5 and distance detection >10m. We present a prototype and methods of receiving rays reflected back from object and detected by avalanche photodiode (APD) with 1mm receive area under 1550nm pulse fiber laser source with 10ns and 100 khz repetition rate. The Fourier diffraction principle is employed to obtain the phase pattern on SLM for beam steering. Beam steering efficiency includes beam profile and coordinates after spanning angle optical system is analyzed. The performance and analys
Coffee Break 10:30 - 11:00
Show Abstract +
In order to achieve higher levels of automated driving, more advanced sensors are required in order to provide better accuracy at higher distances, necessary for highway applications. Moreover, it is necessary to achieve improved robustness in challenging atmospheric and illumination conditions.
In order to achieve these goals, different types of sensor were proposed, like radar, thermal cameras and lidar. However, to achieve the required angular resolution for highway operation at distances up to 250m, FMCW lidar proved to be the most promising solution. In this paper we will present methods for advanced processing of FMCW lidar signals, noise reduction and temporal filtering. The first component of the proposed work is enhanced demodulation processing, which improves the accuracy of lidar, in depth resolution, based on neural networks. In the second step, we present a temporal filtering to improve the stability and reduce temporal jitter of lidar point clouds.
13083-24
Analyzing Laguerre-Gaussian beams for optical communication resilience in adverse weather conditions
On demand | Presented live 23 April 2024
Show Abstract +
This study thoroughly examines how Laguerre-Gaussian (LG) superposition beam is attenuated by rainfall in free space, through Monte-Carlo simulations with both geometrical optics and Mie scattering theories. Unexplored in atmospheric optics, the research encompasses rainfall rates (5-100 mm/h) and a propagation distance (100 m) at wavelengths of 1064 nm. The superposition of LG modes of zero radial, but 1 and -4 azimuthal order beam exhibited 85.7% unimpeded photon transmission through moderate rainfall for 100 m by geometrical optics theory and 86.6 % by Mie scattering theory. The study develops intensity and phase profiles, emphasizing performance advantages over traditional methods in precipitation. Its outcomes are crucial for improving optical communication systems in challenging atmospheric conditions, bridging a significant gap. Empirical evidence supports LG beams' efficacy in environmental challenges, with implications for environmental monitoring, navigation, remote sensing, and a foundational framework for diverse real-world applications.
Session 7:
Bio Sensors I
23 April 2024 • 11:40 - 12:20 Japan Standard Time | Room 411/412
Session Chair:
Osamu Matoba, Kobe Univ. (Japan)
13083-25
On demand | Presented live 23 April 2024
Show Abstract +
The indifference of surface plasmons towards specific or non-specific binding events has been one of the longstanding fundamental challenges faced in surface plasmon resonance (SPR) sensors. We have tried to address this challenge on FO-SPR sensor by creating a metal-molecule-metal nanoparticles (MMNP) configuration using gold nanoparticles. To realize this configuration, 4-aminothiophenol (4-ATP) was utilized for immobilization of biotin molecules, while streptavidin functionalized gold nanoparticles were utilized as probing tags. On successful streptavidin-biotin interaction, the MMNP configuration causes strong Raman signal enhancement of underlying 4-ATP molecules and thus can be considered as confirmatory signal for ascertaining specific binding. Our work constitutes a proof-of-concept and can be extended to wide range of biomolecular interactions like antibodies-antigen, oligonucleotide hybridization and so. Furthermore, using different Raman molecules for immobilization, multiplexing can be achieved on single SPR platform.
13083-26
On demand | Presented live 23 April 2024
Show Abstract +
Whiskers are functional hairs available in mammals for tactile surveillance. This paper proposes an optical fiber sensor based on a bioinspired and biocompatible whisker-like transducer made of agar-glycerol gel. The vibrissa base embeds a hetero-core multimode fiber structure illuminated by coherent light to generate speckle patterns modulable through whisker bending. Processing these specklegrams with correlation algorithms retrieves the magnitude and direction of applied mechanical stimuli based on a single optical channel, avoiding intricate interrogation hardware and demodulation techniques. Such a straightforward, biocompatible approach motivates further applications in tactile sensing devoted to biomedical and human-robot interaction setups.
Break
Lunch Break 12:20 - 14:00
Session 8:
Bio Sensors II
23 April 2024 • 14:00 - 15:00 Japan Standard Time | Room 411/412
Session Chair:
Osamu Matoba, Kobe Univ. (Japan)
13083-28
On demand | Presented live 23 April 2024
Show Abstract +
This paper proposes an optical fiber force myography (FMG) sensor for assessing lower limb movements. FMG is the mechanical counterpart of surface electromyography that correlates muscular contractions to user motions or intentions. Microbending optical fiber transducers attached to the vastus intermedius and gastrocnemius/soleus muscles modulate the output intensity according to the FMG stimuli, yielding an average resolution of 5.4° regarding the knee flexion. Moreover, we monitored the optical response for different leg motions to characterize and classify the performed actions according to their waveforms. The presented sensor features a compact, straightforward, electrically robust, and non-invasive alternative to the motion capture approaches based on cameras or electronic transducers, making it suitable for applications in rehabilitation and assistive robots.
13083-29
23 April 2024 • 14:20 - 14:40 Japan Standard Time | Room 411/412
Show Abstract +
Every year, over 30% of the elderly in America fall at least once, resulting in many lasting injuries and even deaths. However, the reason for these lasting injuries and death is not solely because of the fall, but because of the lack of medical response. Current fall detection techniques utilize camera-based systems which are very intrusive which is why this paper focuses on a combination of accelerometer and infrared sensor data to detect falls to reduce intrusiveness. This paper will compare how different neural network models perform with different filters applied to the infrared sensor data. Trained under specifically gathered data that combines both the accelerometer and infrared sensor, this paper shows the improvements which a combined system provides compared to current fall detection techniques.
13083-30
23 April 2024 • 14:40 - 15:00 Japan Standard Time | Room 411/412
Show Abstract +
We have established an advanced nonlinear multimodal imaging system, integrating Stimulated Raman Scattering (SRS), multiphoton fluorescence (MPF), and second harmonic generation (SHG), to investigate the intricate relationships between metabolic activities and metabolite distribution in cells and tissues. In addition, the innovative Adam-based Pointillism Deconvolution (A-PoD) and Correlation Coefficient Mapping (CoCoMap) algorithms have been designed, enabling a deeper insight into the simultaneous recording and analysis of correlation between various metabolic processes within super-resolved images of nanoscale Regions of Interest (ROIs). To precisely pinpoint signals originating from specific subcellular organelles, the state-of-the-art Multi-SRS reference matching (Multi-SRM) clustering algorithm was introduced. This technique holds the potential of enhancing the detection and prognosis of diseases, assessing therapeutic outcomes, and deepening the understanding of the aging process and biomedical science.
Break
Coffee Break 15:00 - 15:30
Session 9:
Sensing from UAVs & Robotic Vehicles
23 April 2024 • 15:30 - 16:50 Japan Standard Time | Room 411/412
Session Chair:
Joshua B. Broadwater, Johns Hopkins Univ. Applied Physics Lab., LLC (United States)
13083-32
23 April 2024 • 15:30 - 15:50 Japan Standard Time | Room 411/412
Show Abstract +
New developments in remote sensing techniques have created new avenues for data collection on discontinuity features and enabled the resolution of hazardous problems associated with traditional approaches. In this study, the use of an Unmanned Aerial Vehicle (UAV) and a Terrestrial Laser Scanner (TLS) for rock slope stability measurement is compared. Kinematic analysis and Slope Mass Rating (SMR) are used to analyse two case studies, Chamoli Landslide and Rampur Landslide Rock Slope, in order to represent rock via the 3D point cloud. The methods are contrasted with the manual mapping approach in terms of how accurate the data collection is when determining the rock slope. The permissible tolerance level is met by the standard deviation of the dip and dip direction between digital capture and manual mapping. Excellent clear point cloud data is also produced by the combination of UAV and TLS, spanning the whole slope.
13083-34
23 April 2024 • 15:50 - 16:10 Japan Standard Time | Room 411/412
Show Abstract +
Chlorophyll fluorescence is the emission of light by chlorophyll molecules when they are excited by absorbed light. Chlorophyll is the pigment responsible for photosynthesis, the process by which plants and other photosynthetic organisms convert light energy into chemical energy, which varies in different values for different latitudes.
The aim of the research is an attempt to compare the spectral characteristics of mosses and lichens, and note any variations in their fluorescence intensity from the region of Livingston Island, Antarctica and Rila Mountain in Bulgaria during the summer season in the southern and northern hemispheres.
Field research was carried out in Antarctica and Bulgaria, in order to verify the data from Sentinel 2MSI, drone photography and photogrammetry, as well as photography by a thermal camera with a measurement accuracy of +/- 2°C and a wavelength of 8 - 14 μm .
A spectrometer was used to analyze the visible range from 380 to 780 nm and the spectral range in which Sentinel 2MSI and Sentinel 3 SLSTR images are generated.
The main research methods are through chlorophyll fluorescence response and the use of several optical indices for remote sensing.
13083-35
On demand | Presented live 23 April 2024
Show Abstract +
Experimentation and research on safe and autonomous landing selection pipelines of UAVs are critical for their widespread deployment. Most of the methods of landing site selection are concentrated on control system-based methods that rely on feedback from sensors. For vision-based methods, extracting different surface parameters from images is vital of surface inclination is considered in this work. In this paper, a novel dataset consisting of images with different inclination label is prepared and tested with an end-to-end CNN based architecture. This LandUAVSafe dataset consists of RGB images with different inclination angles as ground truth labels. The dataset is created on ROS Gazebo using Iris UAV to capture different surfaces at several inclination angles at different heights. Three different CNN based architecture for inclination estimation based on Faster-RCNN, YOLOv3, and YOLOv8 has been experimented for classifying inclination between 0, 15, 30, 45 and 60 degrees. The experimental results depict significant improvement with the YOLOv8 based architecture.:ink : https://github.com/novoblake/LandUAVSafe-Dataset/
keywords : UAV, Autonomous landing, AI, Deep Learning
13083-64
23 April 2024 • 16:30 - 16:50 Japan Standard Time | Room 411/412
Show Abstract +
The VIIRS day-night band (DNB), with a spectral bandwidth of 500-900nm, collects data at three different gain stages: low, mid, and high gain (LG, MG, and HG), covering a very large dynamic range and capable of sensing reflected light from space during both day and nighttime. This paper describes the use of stars for VIIRS DNB HG calibration, discusses some of the challenges and limits to this approach, and demonstrates various strategies and techniques developed for its calibration stability monitoring and results of calibration inter-comparisons among three VIIRS instruments currently operated on the S-NPP, NOAA-20, and newly launched NOAA-21.
Session 10:
Component Technology
24 April 2024 • 09:00 - 11:30 Japan Standard Time | Room 411/412
Session Chair:
Christopher R. Valenta, Georgia Tech Research Institute (United States)
13083-36
24 April 2024 • 09:00 - 09:20 Japan Standard Time | Room 411/412
Show Abstract +
This paper presents a groundbreaking development in the field of organic photodetectors, introducing a novel dual-mode photodetector with exceptional thickness capabilities. The technology is achieved through the innovative use of multilayer blade coating techniques, enabling the seamless transition between narrowband and broadband modes through the application of bias. This pioneering device, termed the "Bias Switchable Narrowband-Broadband Near-Infrared (NIR) Organic Photodetector," is manufactured in ambient conditions and offers several distinct advantages, including dual-mode operation, halogen-free solvent usage, ambient fabrication conditions, and scalability in the manufacturing process.
13083-37
On demand | Presented live 24 April 2024
Show Abstract +
Silicon ring resonators are currently being assessed by several national metrology organizations as thermometers for use in calibration laboratories and in high-accuracy commercial applications. In this paper, we summarize the results of one such assessment carried out at the National Research Council of Canada (NRC). The prototype of silicon ring-resonator thermometer (developed at NRC) was evaluated in the stirred liquid bath between 23 °C and 80 °C over the period of several years in order to get the full uncertainty budget. The combined 10-mK standard uncertainty for our ring-resonator thermometer is not only identical to the repeatability reported previously for an unpackaged ring resonator but it also includes a contribution due to long-term drift of ring-resonator thermometer estimated over two consecutive 11-month periods. We also report the results of our on-going efforts to reduce the long-term drift by using the controlled gas atmosphere inside ring-resonator thermometer and discuss the ultimate accuracy achievable with our current setup.
13083-38
24 April 2024 • 09:40 - 10:00 Japan Standard Time | Room 411/412
Show Abstract +
The short-wave infrared (SWIR) spectrum reveals distinct optical properties of many materials which considerably differ from their properties in the visible spectrum, creating unique imaging opportunities. SWIR imaging is usually done with InGaAs focal plane arrays which due to their low-volume manufacturing and high price remain inaccessible for many applications. Image sensors based on colloidal quantum dot (CQD) photodiodes recently emerged as alternative that has a potential to enable high-volume manufacturing of SWIR image sensors. Multiple images in distinct SWIR bands often need to be captured, but due to the unique properties of CQD photodiodes, it is challenging to directly integrate optical filters on top of them for the purposes of spectral imaging. Here, we propose a strategy to overcome these challenges by integrating CQD photodiodes on top of optical metasurfaces. Patterned silicon nanostructures enable detection of spectrally and polarization sensitive SWIR light. The proposed device stack is compatible with thin-film processing and demonstrates a path towards affordable spectral imaging in SWIR which can impact many industrial, scientific and consumer domains.
13083-39
On demand | Presented live 24 April 2024
Show Abstract +
The monitoring of mechanical strain is essential in the development of new materials, the design of components in mechanical engineering and structural health monitoring. Some applications require contactless measurements to avoid direct intervention or complex contacting of multiple sensors while maintaining absolute and long-term measurements. In this paper, a measurement principle is presented based on diffractive nanostructures manufactured by two-photon polymerization featuring these advantages. For the measurement, periodic nanostructures are applied to a component, illuminated with a defined light source and the reflected light is monitored with a camera. The relationship between the stretching of the nanostructure and its color impression allows to quantify the component’s strain. A concept for a measurement setup was developed along with a guideline for the design of industrial applicable and sensitivity-optimized nanostructures.
Coffee Break 10:20 - 10:50
13083-41
On demand | Presented live 24 April 2024
Show Abstract +
Heavy metal ions are usually toxic and carcinogenic with the harmful effects to the environment, water quality, and human health. The World Health Organization (WHO) has listed the mercury (Hg) as one of the most toxic heavy metals. Mercury can cause serious effects on human nervous system through binding to the mercaptan residues contained in the proteins after bioaccumulation and biomagnification. Therefore, the detection of mercury in water becomes a major public concern in modern days.
We propose a miniature and high-performance fibre-tip Fabry-Perot sensor coated with MXene. We systemically investigate the relationship between wavelength shift of interference spectrum and cavity length, the effect of cavity surface reflectance on the finesse where the fibre tips coated with gold thin film with varied thickness in nanometre scales. The proposed MXene-FPI will be used to detect Hg2+ in water for high sensitivity. We believe that the nanomaterial integrated FPI sensing technology will become a permission alternative for the monitoring of environmental, food and water quality.
13083-42
24 April 2024 • 11:10 - 11:30 Japan Standard Time | Room 411/412
Show Abstract +
Chiral sensing is essential for comprehending biological processes. Our study emphasizes the use of metallic helical structures (MHCs) in Surface-Enhanced Raman Spectroscopy (SERS). The double helices, fabricated by TPL method reveal exhibit high SERS response (~10^14 EF) in simulation. This facilitates the detection of both chiral and non-chiral molecules.
Break
Lunch Break 11:30 - 13:30
Poster Session
24 April 2024 • 13:30 - 15:00 Japan Standard Time | Exhibition Hall A
Come view the posters, ask questions, and network with colleagues in your field.
Poster Setup: 12:00 - 13:30 Japan Standard Time Poster authors, view poster presentation guidelines and set-up instructions at Poster Guidelines.
Poster Setup: 12:00 - 13:30 Japan Standard Time Poster authors, view poster presentation guidelines and set-up instructions at Poster Guidelines.
13083-43
On demand | Presented live 24 April 2024
Show Abstract +
Surface and ground air temperatures are one of the variables that best distinguish and characterize the specific climate in urbanized spaces. Over the years, research has shown that urbanized spaces have experienced persistently higher temperatures, which is defined as the urban heat island effect (Urban Heat Island-UHI). Wind turbines and solar panels are two of the main types of renewable energy sources used in Bulgaria. The presence of too many different facilities related to renewable energy sources often has an impact, but sometimes this impact can be negative for specific territories even if they are not highly urbanized, such as the selected territory in Western Pontic steppes, North-Еast Planning Region (BG33).
The aim of the research is to create a methodology for monitoring through a complex approach, to be used by experts and non-experts, in order to make decisions for the management of the territories occupied with renewable energy sources. Different indicators and indices from the optical range, such as Normalized Differential Greenness Index (NDGI), Tasseled cap transformation (TCT), Normalized Difference Vegetation Index (NDVI) and Land surface temperature (LST), wer
13083-44
On demand | Presented live 24 April 2024
Show Abstract +
Research on high-precision calibration device for dual-axis tilt sensor
Jin Zhou , XiaoLi Wu , Jing Zheng , Sen Zhou and Xuemei Yang
A dual-axis computer numerical control turntable is designed in this article to calibrate a dual-axis tilt sensor. The device comprises a swing axis and a rotating axis, which are used to produce tilts in two perpendicular directions. To achieve precise control of the motion mechanism and enhance positioning accuracy, the time-grating angular displacement sensors have been adopted as the feedback and measurement components in both axes of the device. The experimental results indicate that the error of the swing axis of this calibration device is ±1.5 arcsec, while the error of the rotation axis is ±1.0 arcsec, with a repeatability of less than 0.5 arcsec, which is suitable for the calibration of the majority of dual-axis tilt sensors.
13083-45
On demand | Presented live 24 April 2024
Show Abstract +
In this paper, a full geometric information measuring model of 3D gear was developed based on laser scanning techniques. In order to generate a optimum sampling path, a measuring cost function was proposed by considered of the relationship among the sampling interval, sampling point clouds, and measurement precision of key features. On the other hand, 3D tooth surface measurement error was described by quantitative point cloud data. An commercial 3D gear measuring system was also introduced, which has a degrees of laser scanner and self-developed special analysis software. Finally, a series of experiments on typical cylindrical gears (base circle diameter from 100mm to 500mm) were performed to demonstrate this automated path planning technique, measurement cost, and the full geometric measurement accuracy.
13083-46
On demand | Presented live 24 April 2024
Show Abstract +
In the literature there are many machine learning-based works on target recognition in visible spectrum. However, it is very important to have the same capability in infrared spectrum for military applications. Because of that reason DSIAC database, which has both visible and infrared images of the same targets is introduced first. Then a straightforward and efficient transfer learning-based ATR algorithm is proposed. The proposed transfer learning algorithm is tested with many challenging scenarios of DSIAC database. We extract valuable results how the ATR performance depends on range, wavelength and time changes. We also test ATR capability of our proposed model against extensive data. At the end we achieve very satisfactory accuracy scores thanks to the power of transfer learning.
13083-47
24 April 2024 • 13:30 - 15:00 Japan Standard Time | Exhibition Hall A
Show Abstract +
This study is focused on the landslide susceptibility mapping of the Mandakini catchment in Indian Himalayas, after the Great 2013 disaster. We used Maximum Entropy machine learning model to prepare the susceptibility map using fifteen landslide conditioning variables. Our result stated that 7% area of the Mandakini Catchment is highly susceptible to landslides.
13083-48
On demand | Presented live 24 April 2024
Show Abstract +
In developing countries such as those in Southeast Asia, the development of social infrastructure is progressing with the support of urban development projects from various countries, and urbanization is progressing in the surrounding areas, but details such as land use and population distribution are not available. In many cases, there is insufficient data available, making it difficult to understand the status of urbanization, the effects of projects, and the extent of their impact. Therefore, a method for identifying urban areas using optical satellites and SAR satellites was investigated, and the effects and range of influence of projects in developing countries where land use data is insufficient were analyzed. Based on these results, characteristics such as the state of urbanization and the extent of its influence due to social infrastructure in developing countries in Southeast Asia development were effectively analyzed.
13083-49
Study of the impact of COVID-19 on Tokyo's 23 wards using Suomi-NPP nighttime light satellite images
On demand | Presented live 24 April 2024
Show Abstract +
COVID-19, which emerged in January 2020, caused a pandemic and it had a huge impact on the world's society and economy. This study utilized the Suomi-NPP nighttime light satellite images, which have significantly improved performance compared to traditional satellites, to investigate the effects of COVID-19 on the living environment in Tokyo's 23 wards. The results of the study revealed varied trends of change within the different regions of the Tokyo 23 wards. The study also confirmed the relationships between these changing trends and various spatial information, including transportation infrastructure.
13083-50
24 April 2024 • 13:30 - 15:00 Japan Standard Time | Exhibition Hall A
Show Abstract +
Landslides and other gravitational mass movements are often monitored with high degrees of
geometric detail and precision using terrestrial laser scanning (TLS). Semantic information, however, is
missing from unstructured TLS point clouds and is necessary for geomorphologically interpreting the
observed changes. It is difficult to extract meaningful items in a complex and dynamic environment
because of the fuzziness of the objects in reality and the ambiguity and unpredictability of their patterns
in a morphometric feature space. A point-cloud-based method for categorizing multitemporal sceneries of
a hillslope impacted by shallow landslides is presented in this paper. The 3D point clouds are divided into
geographically contiguous and morphologically homogenous segments. In a two-step process, these
segments are categorised into seven target classes (scarp, eroded area, deposit, rock outcrop, and various
classes of vegetation) using morphometric features and a machine-learning classifier. A correction step
based on topological rules follows the supervised classification step. This significantly enhances the final
item extraction.
13083-51
On demand | Presented live 24 April 2024
Show Abstract +
Contact-free measurement devices known as terrestrial laser scanners (TLS) capture
dense point clouds of objects or sceneries by obtaining the coordinates and intensity value of each
individual point. The point clouds are noisy and dispersed. By converting "data" to "information," a
mathematical surface approximation may effectively decrease data storage and organise point clouds
without requiring direct manipulation of the data. Uses include conducting stringent statistical testing for
deformation analysis in the context of monitoring landslides. Classification and segmentation algorithms
may recognise and eliminate non-uniform features like trees and shrubs to provide a smooth and precise
mathematical surface of the ground by reaching an ideal approximation. In order to lead the reader
through the current techniques, we provide a comparison of approaches for classifying TLS point clouds.
In addition to the conventional point cloud filtering techniques, we will examine machine learning
classification algorithms that rely on the manual extraction of point cloud features and PointNet++, a deep
learning strategy that uses automated feature extraction. To ensure that our findings can
Show Abstract +
Spectroradiometers are widely used in remote sensing to derive reflectance from spectral radiance measurements under field and laboratory conditions. Well calibrated spectroradiometers are also applied for the characterization of radiance sources. The Calibration Home Base (CHB) for imaging spectrometers at the Remote Sensing Technology Institute (IMF) of the German Aerospace Center (DLR) is using a Spectra Vista Corporation (SVC) HR-1024i spectroradiometer for radiance transfer measurements in the spectral region from 380 nm to 2500 nm. Recently, SVC upgraded the instrument by replacing the VNIR detector with a temperature-stabilised version. In this work we investigate the influence of the non-linearity on the calibration accuracy after the detector upgrade.
13083-53
24 April 2024 • 13:30 - 15:00 Japan Standard Time | Exhibition Hall A
Show Abstract +
The Indian Himalayas are prone to rock-debris slope failure every year during the rainfall period that lasts through JJAS months. A large number of active landslides lie along the Mandakini catchment in the Upper Indian Himalayas, posing a continuous threat to people and the rural landscape. To address this challenge, we conducted multi-temporal UAV surveys over a period of one year to monitor slope displacement efficiently. Flight plans for different epochs generated ultra-high-resolution products, including digital elevation models (DEMs), orthomosaics, and 3D dense point clouds. In this study, we utilized the Geomorphic Change Detection (GCD) plugin to analyze the areal, volumetric, and vertical depth average change between pre- and post-digital elevation models for the Sonprayag Slope. The results help identify erosion and deposition values of rock-debris, contributing to a better understanding of slope dynamics. UAV-derived products, combined with GCD analysis, offer promising insights for monitoring and managing landslide hazards in the region.
13083-56
On demand | Presented live 24 April 2024
Show Abstract +
The study of unregulated and regulated (legal and illegal) landfills on the basis satellite and field data allows complex monitoring and analysis of waste sites. This approach combines high-resolution satellite imagery to identify and map landfills with detailed field observations to verify data and assess their condition. This provides up-to-date information on the location, volume and potential impact of landfills on the environment, which is critical for effective waste management and nature conservation.
The study covers examples of different NUTS 2 planning areas (under the Regional Development and Improvement Act) such as South East (BG 41) and South Central (BG 42). The data generated is for a period of at least five years. Regulated landfills are of national importance and selected events from the territory of Bulgaria have been investigated and monitored through a complex approach based on satellite data, Unmanned Aerial Systems (UAS) and ground-based spectrometric equipment, a thermal camera and an Automatic recording weather station (AWG).The optical monitoring indices used are NDVI, Tasseled cap transformation (TCT) and Normalized Differential Greenness Index (NDGI).
13083-57
On demand | Presented live 24 April 2024
Show Abstract +
The mapping of snow and snow avalanche dynamics is important for determining potential danger zones, planning protective measures and understanding of climate change. Year-round snow cover monitoring through land surveys is almost impossible in the Longyearbyen area, aerial photography surveys are also insufficient due to the specific conditions of sunshine and the lack of it during the winter season. Due to the presence of clouds the snow cover information is very limited by the optic satellite images. Microwave images have the advantage over visible and NIR techniques as they are sensitive to changes in surface moisture and thus provide useful information about changes in their physical states. The study evaluates the usefulness of C-band SAR images for data mining for wet snow and snow from other surfaces, but also uses optical indices and indicators. TCT (Tasseled Cap Transformation) was used as a moisture indicator, as well as NDVI (Normalized-Difference Vegetation Index), which was used to map snow as a normalized difference of two bands (one in the visible and one in the near-infrared or short-wave infrared parts of the spectrum).
13083-58
On demand | Presented live 24 April 2024
Show Abstract +
Wildfires considerably disturb the structure and forest ecosystem functioning. The remotely sensed aerospace methods and data are widely used for ecological research monitoring. The aim of this paper is to assess post-fire forest disturbances and initial regrowth processes using the tasseled cap derived Direction angle. The proposed method is based on linear orthogonal transformation of multispectral satellite images and is characterized with higher accuracy compared to standard methodologies using vegetation indices. The test area is located in the Middle Rhodopes, near the village of Hvoyna (Smolyan region), Bulgaria, where on 28/08/2023 a wildfire broke out. Multispectral satellite imagies derived from Sentinel 2 have been used – before and after the fire.
13083-59
On demand | Presented live 24 April 2024
Show Abstract +
The following study presents results derived by the ongoing research project “Monitoring of the seasonal dynamics and stability of the snow cover in the mountain range of the Republic of Bulgaria for a period of 10 years (2014-2024) based on Remote Sensing“. The Vitosha mountain region situated in Bulgaria (278 km2) was used as a test area for monitoring Snow Cover Extent (SCE) for an eight-year period (2016-2023). The results derived by the conducted study consist of SCE information which is crucial part of the calculation of Snow Water Equivalent (SWE), hydrological runoff modeling and flood forecasting and monitoring. In the present research the available cloudless optical data of Sentinel-2 MSI, generated and exported from Google Earth Engine (GEE), from October to May, for the period between 2016 and 2023 were used for snow cover monitoring purposes. Normalized Differential Snow Index (NDSI) and Snow Water Index (SWI) were calculated, and the resulting output raster datasets were post-processed and inspected additionally to obtain threshold classifications used for calculation of snow cover area distribution.
13083-60
On demand | Presented live 24 April 2024
Show Abstract +
When a fluorescence spectrum is converted from the wavelength (nm) to the wavenumber (cm-1) scale, the Y-axis intensity needs to be corrected by the square of the wavelength (termed the λ-squared correction). The correction originates because fluorescence spectra are collected with a fixed wavelength bandpass, which is of diminishing energy in proceeding from short to long wavelength. The λ-squared correction needs to be taken into consideration for overlap of the donor fluorescence band and the acceptor absorption band (J value) for accurate calculations of Forster resonance energy transfer (FRET) and other calculations that rely on integration of the fluorescence spectrum.
13083-61
On demand | Presented live 24 April 2024
Show Abstract +
We have investigated the optimization of regularization parameters in fluorescent imaging based on the transport of intensity equation (TIE) under white noise. For the accurate phase distribution acquired by Fourier-transformed TIE calculation, recording intervals of at least two intensity images and two regularization parameters such as intensity thresholding and constant value in spatial frequency to avoid zero division should be determined. In this paper, we evaluate numerically the reconstructed phase error by changing recording interval and two parameters when white noise exists.
13083-62
24 April 2024 • 13:30 - 15:00 Japan Standard Time | Exhibition Hall A
Show Abstract +
Cracks in structures are unavoidable, yet prompt diagnosis and management can usually avert tragic effects. However, autonomous detection may be time-consuming. It can also be unnoticed for long periods of time. Autonomous crack detection is now possible because to advances in UAV and image processing technologies. In this study, we used machine learning-based algorithms to automatically identify fractures in concrete surfaces. Despite being trained on low-resolution images, the CNN-based model performs very well on higher-quality images using segmentation-inference-assembly. The studied accuracy is more than 95%. A suitable calibration can also predict the crack width or percentage of the cracked area.
13083-63
24 April 2024 • 13:30 - 15:00 Japan Standard Time | Exhibition Hall A
Show Abstract +
This study investigates machine learning (ML) for wheat lodging detection in Haridwar, Uttarakhand (India), using Sentinel1 and Sentinel-2 satellite data from November 2022 to April 2023. Amidst limited research on ML applications in Indian agriculture, we focused on evaluating Random Forest (RF), Decision Tree (DT), and Support Vector Machines (SVM) algorithms based on ground control points and the Normalized Difference Vegetation Index (NDVI). RF emerged as the most accurate in classifying wheat areas, with significant wheat lodging observed in approximately 51% of the district's wheat fields. This approach, particularly the use of the Spectral Sum Index (SSI) for distinguishing lodged from non-lodged wheat, demonstrates ML's potential in enhancing crop yield assessments and informing decision-support systems.
13083-65
On demand | Presented live 24 April 2024
Show Abstract +
Si-based materials have been successful in photodiode (PD) sensing applications, but their relatively thick dimensions (μm-scale) and limitations in light absorption hinder effective color discrimination. Perovskite halide materials offer a promising alternative, but their susceptibility to degradation from humidity and oxygen impedes commercial viability. To address this challenge, we propose a strategy of reducing trap densities and enhancing perovskite crystal quality through the incorporation of PMMA/sodium borate salt (Borax). Our study reveals that these additives act as passivators for uncoordinated Pb2+ ions and as cross-linkers between perovskite grains, enhancing the performance and stability of blue-light targeting PDs. Optimized Borax content results in a PD with superior responsivity (0.3 A W^–1), an average external quantum efficiency of 77.26% in the 400–500 nm range, and over 98% stability after 50,000 on–off cycles. This demonstrates a promising pathway for future commercialization of PDs.
Break
Coffee Break 15:00 - 16:15
OPIC Plenary Session
24 April 2024 • 16:15 - 18:45 Japan Standard Time | Room 501/502
For more information, see the OPIC website: https://opicon.jp/program/plenary/
16:15 - 17:05
Optics and Photonics as key enabling technologies for smart glasses
Optics and Photonics have been proven to be key enabling technologies for all constituting sub-systems in next generation smart glasses, such as in display sub-systems, sensor sub-systems and imaging sub-systems.
Consumer mass adoption of AR headsets are conditioned by solving all three immersive displays comfort pillars: wearable, visual and social. To do so, new micro- and nano-fabrication challenges need to be addressed, specifically more efficient waveguide combiners and smaller display engines and coherent sensor fusion systems. Novel nanofabrication techniques are needed to improve the performance of flat optical display systems while allowing for mass production at consumer cost levels. Such novel nano-fabrication technologies push the envelope beyond what is possible today with traditional nano-imprint lithography.
Bernard Kress has been involved in Optics and Photonics for the past 25 years as an author, instructor, associate professor, engineer, and hardware development manager in academia, start-ups and multinational corporations, with a focus on micro-optics, diffractive and holographic optics. He successively worked on product developments in the fields of optical computing, optical telecom, optical data storage, optical anti-counterfeiting, industrial optical sensors and more recently in immersive displays for augmented and mixed reality systems.
Bernard published several books, holds close to 100 patents, and wrote a few hundred papers on these topics.
He is the 2023 President of the International Society for Optics and Photonics (SPIE). He also set up and chairs various SPIE conferences including the SPIE AR/VR/MR co-located with Photonics West and the SPIE Digital Optical Technologies co-located with Laser Munich. He is also a short course instructor on micro-optics and ARVR displays and hosts the monthly online SPIE AR|VR|MR fireside chats.
Bernard held engineering management positions at Google [X] Labs since 2010 (Google Glass) and Microsoft since 2015 (HoloLens). He is since 2021 the Director for XR engineering at Google in Mountain View, CA.
17:05 - 17:55
Organic semiconductor laser diode: challenges and perspectives
Organic lasers have the potential to add value to OLED technology, expanding its applications by providing highly directional monochromatic light. In this talk, we will discuss a comprehensive investigation of the influence of exciton and photon losses on the performances of organic semiconductor laser diodes. Our findings indicate that the exciton loss affects the laser threshold while the slope efficiency remains unaffected. Conversely, photon losses affect both the lasing threshold and slope efficiency.
Fatima Bencheikh, Ph.D., is the chief executive and technology officer of Koala Tech. Inc. and a visiting associate professor at Kyushu University. Her research interest is organic optoelectronic devices with a focus on OLED and organic semiconductor lasers. She received her Ph.D. degree in micro and nanoelectronics from Aix-Marseille University, France. Eager to discover a new way of life and new work culture, she moved to the land of the rising sun, Japan in 2016. From 2016 to 2019, she has been working as a postdoctoral fellow under the supervision of Prof. Chihaya Adachi at Kyushu University. In March 2019, Fatima Bencheikh co-founded a startup venture named KOALA Tech. Inc., an innovative high-tech startup company; whose goal is to pioneer practical applications of OSLDs that have been recently realized at Kyushu University.
17:55 - 18:45
Proton Fast Ignition as a path to commercial fusion energy
The first successful ignition of a fusion reaction and the first demonstration of scientific energy gain have changed the direction of fusion research from fundamental research towards the question of how commercial energy production can be achieved.
Focused Energy is a US/German startup working to commercialize fusion energy. Over the last two years we have gathered the best laser fusion scientists from both sides of the Atlantic. Upon a careful analysis of all the individual aspects of laser fusion Focused Energy has chosen the direct-drive, proton fast ignition approach as, to our belief, the most robust pathway to commercialize laser fusion energy.
This talk will present our considerations, based on many decades of research around the globe, and our roadmap towards a first fusion reactor by the end of the next decade.
Markus Roth, Ph.D. is a professor of laser and plasma physics at the university of technology (TUDa) of Darmstadt, Germany. For more than 25 years he has been spearheading particle acceleration by ultra-intense lasers. He started working on laser fusion in 1999 as a scientist at LLNL and since worked on most of the large laser facilities around the world. He has become a fellow of the APS for his contributions to particle acceleration and laser-driven neutron sources, has been an honorary Professor at University of Kyoto (Mitsuyuki Abe chair) for a couple of years, and has been a consultant to national laboratories in the US, UK, and Europe.
16:15 - 17:05
Optics and Photonics as key enabling technologies for smart glasses
 |
Bernard Kress
Director, XR Engineering Google (United States) 2023 President SPIE (United States) |
Optics and Photonics have been proven to be key enabling technologies for all constituting sub-systems in next generation smart glasses, such as in display sub-systems, sensor sub-systems and imaging sub-systems.
Consumer mass adoption of AR headsets are conditioned by solving all three immersive displays comfort pillars: wearable, visual and social. To do so, new micro- and nano-fabrication challenges need to be addressed, specifically more efficient waveguide combiners and smaller display engines and coherent sensor fusion systems. Novel nanofabrication techniques are needed to improve the performance of flat optical display systems while allowing for mass production at consumer cost levels. Such novel nano-fabrication technologies push the envelope beyond what is possible today with traditional nano-imprint lithography.
Bernard Kress has been involved in Optics and Photonics for the past 25 years as an author, instructor, associate professor, engineer, and hardware development manager in academia, start-ups and multinational corporations, with a focus on micro-optics, diffractive and holographic optics. He successively worked on product developments in the fields of optical computing, optical telecom, optical data storage, optical anti-counterfeiting, industrial optical sensors and more recently in immersive displays for augmented and mixed reality systems.
Bernard published several books, holds close to 100 patents, and wrote a few hundred papers on these topics.
He is the 2023 President of the International Society for Optics and Photonics (SPIE). He also set up and chairs various SPIE conferences including the SPIE AR/VR/MR co-located with Photonics West and the SPIE Digital Optical Technologies co-located with Laser Munich. He is also a short course instructor on micro-optics and ARVR displays and hosts the monthly online SPIE AR|VR|MR fireside chats.
Bernard held engineering management positions at Google [X] Labs since 2010 (Google Glass) and Microsoft since 2015 (HoloLens). He is since 2021 the Director for XR engineering at Google in Mountain View, CA.
17:05 - 17:55
Organic semiconductor laser diode: challenges and perspectives
 |
Fatima Bencheikh
CEO & CTO KOALA Tech, Inc. (Japan) |
Organic lasers have the potential to add value to OLED technology, expanding its applications by providing highly directional monochromatic light. In this talk, we will discuss a comprehensive investigation of the influence of exciton and photon losses on the performances of organic semiconductor laser diodes. Our findings indicate that the exciton loss affects the laser threshold while the slope efficiency remains unaffected. Conversely, photon losses affect both the lasing threshold and slope efficiency.
Fatima Bencheikh, Ph.D., is the chief executive and technology officer of Koala Tech. Inc. and a visiting associate professor at Kyushu University. Her research interest is organic optoelectronic devices with a focus on OLED and organic semiconductor lasers. She received her Ph.D. degree in micro and nanoelectronics from Aix-Marseille University, France. Eager to discover a new way of life and new work culture, she moved to the land of the rising sun, Japan in 2016. From 2016 to 2019, she has been working as a postdoctoral fellow under the supervision of Prof. Chihaya Adachi at Kyushu University. In March 2019, Fatima Bencheikh co-founded a startup venture named KOALA Tech. Inc., an innovative high-tech startup company; whose goal is to pioneer practical applications of OSLDs that have been recently realized at Kyushu University.
17:55 - 18:45
Proton Fast Ignition as a path to commercial fusion energy
 |
Markus Roth
Chief Science Officer and Founder Focused Energy Inc. (Germany) |
The first successful ignition of a fusion reaction and the first demonstration of scientific energy gain have changed the direction of fusion research from fundamental research towards the question of how commercial energy production can be achieved.
Focused Energy is a US/German startup working to commercialize fusion energy. Over the last two years we have gathered the best laser fusion scientists from both sides of the Atlantic. Upon a careful analysis of all the individual aspects of laser fusion Focused Energy has chosen the direct-drive, proton fast ignition approach as, to our belief, the most robust pathway to commercialize laser fusion energy.
This talk will present our considerations, based on many decades of research around the globe, and our roadmap towards a first fusion reactor by the end of the next decade.
Markus Roth, Ph.D. is a professor of laser and plasma physics at the university of technology (TUDa) of Darmstadt, Germany. For more than 25 years he has been spearheading particle acceleration by ultra-intense lasers. He started working on laser fusion in 1999 as a scientist at LLNL and since worked on most of the large laser facilities around the world. He has become a fellow of the APS for his contributions to particle acceleration and laser-driven neutron sources, has been an honorary Professor at University of Kyoto (Mitsuyuki Abe chair) for a couple of years, and has been a consultant to national laboratories in the US, UK, and Europe.
Digital Posters: On Demand Only
The posters listed below are available exclusively for online viewing during the week of SPIE Future Sensing Technologies 2024.
Program Committee
Johns Hopkins Univ. Applied Physics Lab., LLC (United States)