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9 August 2018 Target discrimination via hyper-spectral imaging and spectral generalized angle analysis
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Proceedings Volume 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018); 108063K (2018) https://doi.org/10.1117/12.2502957
Event: Tenth International Conference on Digital Image Processing (ICDIP 2018), 2018, Shanghai, China
Abstract
Target discrimination is of great significance in many applications such as remote sensing, security monitoring, production testing and so on. Nowadays accurate target discrimination 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 generalized angle analysis method is used to solve camouflage target discrimination problem. A self-developed visual-band hyper-spectral imaging device is adopted to collect data cubes of certain experimental scene before spectral generalized angle is worked out so as to discriminate abnormal target. Full-band spectral generalized angle is measured to evaluate target discrimination effect visually and quantitatively. This is proved to be an effective tool for target detection task and can be further developed for other imaging techniques beyond spectral imaging.
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Yuheng Chen Sr., Jiankang Zhou, Xinhua Chen, Yiqun Ji, and Weimin Shen "Target discrimination via hyper-spectral imaging and spectral generalized angle analysis", Proc. SPIE 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018), 108063K (9 August 2018); https://doi.org/10.1117/12.2502957
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