Anaheim Convention Center
Anaheim, California, United States
26 - 30 April 2020
Conference SI107
Algorithms, Technologies, and Applications for Multispectral and Hyperspectral Imaging XXVI
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Abstract Due:
16 October 2019

Author Notification:
20 December 2019

Manuscript Due Date:
1 April 2020

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Conference Chairs
Program Committee
Program Committee continued...
Call for
Multispectral (MSI) sensors and hyperspectral (HSI) imaging spectrometers have become essential tools for a wide range of commercial, civil, homeland security, environmental, atmospheric, and defense applications. Advances in optical fabrication and focal plane sensor technology for the ultraviolet through longwave infrared (0.3 - 14 μm) spectral regions, in combination with high-speed data capture, storage, and retrieval make it feasible and cost effective to conduct remote spectrometry from field, airborne, and spaceborne platforms. Robust algorithms and techniques for mitigating the effects of the atmosphere, characterizing target and background spectral phenomena, extracting useful information from spectral data, and fusion of information from different sensor platforms must keep pace with remote spectral sensor system development.

The objectives of this conference are to demonstrate the utility and advance the capabilities of algorithms and sensors for spectral imaging, to identify meaningful applications, and to provide comprehensive insight into the field of spectral remote sensing. This conference facilitates the exchange of information and new ideas amongst the community of spectral sensor systems developers, automated processing and exploitation systems and algorithm designers, atmospheric phenomenology investigators, spectral data analysts, geospatial researchers, and domain experts in specific commercial, civil, homeland security, environmental, and defense applications.

Papers are solicited on all topics relevant to demonstrating or improving the utility of current as well as planned spectral imaging systems. Thematic session proposals are also welcome.

Subjects of particular interest include, but are not limited to the following areas:

Algorithms for:
  • spectral and spatial feature extraction, categorization, and evaluation
  • spectral variability and separability characterization and analysis
  • target and anomaly detection
  • material identification, and quantitative analysis of solids, liquids, and gases
  • subpixel spectral analysis and pixel unmixing
  • change detection and temporal analysis
  • geospatial analysis such as multisensor platform image registration and rectification
  • characterization and mitigation of sensor artifacts
  • atmospheric compensation and radiometric calibration
  • spectro-polarimetry spectroscopy
  • compression and transmission of spectral data
  • fusion of spectral imagery with other imaging and sensing modalities
  • combined analysis (spatial and spectral) of high-spatial resolution, spectral imagery
  • analysis of spectral video imagery
  • processing and analysis of imagery from unmanned airborne systems
  • processing and analysis of imagery from point and steer systems
  • exploitation of spectral imagery using data mining and machine learning techniques
  • big data analytics for the analysis of large spectral image data sets.
Development of:
  • spectral sensor and related optical technology for marine, ground, air, and space-based applications
  • spectral remote sensing systems in the visible through longwave infrared spectral region
  • sensor designs for current and planned airborne and satellite spectral remote sensing systems
  • active spectral sensing systems, multispectral Lidar
  • spectral phenomenology associated with solid, liquid, gaseous, particulate, composite, and radiological materials
  • spectral signature libraries, metadata characterization approaches, field, and laboratory collection quality control and measurement techniques, and description standards for spectral library data
  • techniques for physics-based target and background characterization, modeling, and simulation
  • data sets, techniques, and approaches for evaluating the performance of spectral data analysis algorithms
  • computing systems and real-time systems for spectral data analysis
  • multi-modal sensing systems that integrate spectral remote sensing with other sensing modalities (e.g. LIDAR, SAR)
  • models and mathematical methodologies for the analysis of spectral imagery
  • spectral instruments and systems for unmanned airborne platforms.
Applications Demonstrating:
  • utility of current passive and active spectral sensor systems (e.g. ground, air, and space-based) in different application domains (e.g. homeland security, military, civilian emergency and disaster response, defense, nuclear proliferation, environmental and climate monitoring, precision agriculture, plant and soil science, and environmental resources management)
  • utility of current and planned commercial satellite and airborne remote sensing systems
  • quantitative atmospheric profile measurement and retrieval techniques
  • atmospheric characterization and correction techniques
  • calibration techniques for remote sensing
  • utility of spectral reflectance and BRDF libraries
  • sensor fusion
  • electronic and optical data processing related to spectral technology
  • cartographic use of registered/geo-rectified fused multisensor platform data including DEMs with spectral data
  • GIS/vectorization and utilization of information extracted from spectral or fused sensor data
  • non-traditional and novel uses of spectral imaging (e.g. biomedical, biology, manufacturing, forensics, food processing, art, document and antique conservation).
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