Abstract
This paper generalizes the progress of algorithms in small target detection for hyperspectral imaging, and finds that whitening the image is the key point of many methods in small target detection. An algorithm is presented to detect desired targets by converting large targets into small ones based on the weighted sample autocorrelation matrix.
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Supported by the National Natural Science Foundation of China (Grant Nos. 40501041,40202031), and the Key Innovation Project of Chinese Academy of Sciences (Grant No. KZCX3-SW-338-1)
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Geng, X., Zhao, Y. Principle of small target detection for hyperspectral imagery. SCI CHINA SER D 50, 1225–1231 (2007). https://doi.org/10.1007/s11430-007-0061-5
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DOI: https://doi.org/10.1007/s11430-007-0061-5