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Proceedings Paper

Framework of passive millimeter-wave scene simulation based on material classification
Author(s): Hyuk Park; Sung-Hyun Kim; Ho-Jin Lee; Yong-Hoon Kim; Jae-Sug Ki; In-Bok Yoon; Jung-Min Lee; Soon-Jun Park
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Paper Abstract

Over the past few decades, passive millimeter-wave (PMMW) sensors have emerged as useful implements in transportation and military applications such as autonomous flight-landing system, smart weapons, night- and all weather vision system. As an efficient way to predict the performance of a PMMW sensor and apply it to system, it is required to test in SoftWare-In-the-Loop (SWIL). The PMMW scene simulation is a key component for implementation of this simulator. However, there is no commercial on-the-shelf available to construct the PMMW scene simulation; only there have been a few studies on this technology. We have studied the PMMW scene simulation method to develop the PMMW sensor SWIL simulator. This paper describes the framework of the PMMW scene simulation and the tentative results. The purpose of the PMMW scene simulation is to generate sensor outputs (or image) from a visible image and environmental conditions. We organize it into four parts; material classification mapping, PMMW environmental setting, PMMW scene forming, and millimeter-wave (MMW) sensorworks. The background and the objects in the scene are classified based on properties related with MMW radiation and reflectivity. The environmental setting part calculates the following PMMW phenomenology; atmospheric propagation and emission including sky temperature, weather conditions, and physical temperature. Then, PMMW raw images are formed with surface geometry. Finally, PMMW sensor outputs are generated from PMMW raw images by applying the sensor characteristics such as an aperture size and noise level. Through the simulation process, PMMW phenomenology and sensor characteristics are simulated on the output scene. We have finished the design of framework of the simulator, and are working on implementation in detail. As a tentative result, the flight observation was simulated in specific conditions. After implementation details, we plan to increase the reliability of the simulation by data collecting using actual PMMW sensors. With the reliable PMMW scene simulator, it will be more efficient to apply the PMMW sensor to various applications.

Paper Details

Date Published: 19 May 2006
PDF: 8 pages
Proc. SPIE 6211, Passive Millimeter-Wave Imaging Technology IX, 621109 (19 May 2006); doi: 10.1117/12.664013
Show Author Affiliations
Hyuk Park, Gwangju Institute of Science and Technology (South Korea)
Sung-Hyun Kim, Gwangju Institute of Science and Technology (South Korea)
Ho-Jin Lee, Gwangju Institute of Science and Technology (South Korea)
Yong-Hoon Kim, Gwangju Institute of Science and Technology (South Korea)
Jae-Sug Ki, KCEI Visual System Research Ctr. Institute (South Korea)
In-Bok Yoon, KCEI Visual System Research Ctr. Institute (South Korea)
Jung-Min Lee, POONGSAN Technical Research Lab. (South Korea)
Soon-Jun Park, POONGSAN Technical Research Lab. (South Korea)

Published in SPIE Proceedings Vol. 6211:
Passive Millimeter-Wave Imaging Technology IX
Roger Appleby; David A. Wikner, Editor(s)

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