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Robust high-order matched filter for hyperspectral target detection

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2 Author(s)
Shi, Z. ; Image Process. Center, Beijing Univ. of Aeronaut. & Astronaut., Beijing, China ; Yang, S.

A robust high-order matched filter (RHMF) for automatic target detection in hyperspectral images is proposed. The classical detection methods mainly focus on second-order statistics and do not take intrinsic uncertainty or variability of target spectral signatures into account. For automatic target detection in a hyperspectral image, most interesting targets usually occur with low probabilities and small population and they generally cannot be described by second-order statistics. Also, one difficult point in target detection is the inherent variability in target spectral signatures. Under such circumstances, the RHMF algorithm uses high-order statistics, and takes variability into consideration, and has been shown by presented experiments to be more effective than classical detection methods.

Published in:

Electronics Letters  (Volume:46 ,  Issue: 15 )