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5 January 2017 Camouflage target detection via hyperspectral imaging plus information divergence measurement
Yuheng Chen, Xinhua Chen, Jiankang Zhou, Yiqun Ji, Weimin Shen
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Proceedings Volume 10244, International Conference on Optoelectronics and Microelectronics Technology and Application; 102440F (2017) https://doi.org/10.1117/12.2257938
Event: International Conference on Optoelectronics and Microelectronics Technology and Application, 2016, Shanghai, China
Abstract
Target detection is one of most important applications in remote sensing. Nowadays accurate camouflage target distinction is often resorted to spectral imaging technique due to its high-resolution spectral/spatial information acquisition ability as well as plenty of data processing methods. In this paper, hyper-spectral imaging technique together with spectral information divergence measure method is used to solve camouflage target detection problem. A self-developed visual-band hyper-spectral imaging device is adopted to collect data cubes of certain experimental scene before spectral information divergences are worked out so as to discriminate target camouflage and anomaly. Full-band information divergences are measured to evaluate target detection effect visually and quantitatively. Information divergence measurement is proved to be a low-cost and effective tool for target detection task and can be further developed to other target detection applications beyond spectral imaging technique.
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Yuheng Chen, Xinhua Chen, Jiankang Zhou, Yiqun Ji, and Weimin Shen "Camouflage target detection via hyperspectral imaging plus information divergence measurement", Proc. SPIE 10244, International Conference on Optoelectronics and Microelectronics Technology and Application, 102440F (5 January 2017); https://doi.org/10.1117/12.2257938
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