Liu Guoqing, Xiong Hong, Huang Shunji, A. Torre, F. Rubertone. CLASSIFICATION OF MULTI-LOOK POLARIMETRIC SAR IMAGERY AND POLARIZATION CHANNEL OPTIMIZATION[J]. Journal of Electronics & Information Technology, 1998, 20(1): 56-61.
Citation:
Liu Guoqing, Xiong Hong, Huang Shunji, A. Torre, F. Rubertone. CLASSIFICATION OF MULTI-LOOK POLARIMETRIC SAR IMAGERY AND POLARIZATION CHANNEL OPTIMIZATION[J]. Journal of Electronics & Information Technology, 1998, 20(1): 56-61.
Liu Guoqing, Xiong Hong, Huang Shunji, A. Torre, F. Rubertone. CLASSIFICATION OF MULTI-LOOK POLARIMETRIC SAR IMAGERY AND POLARIZATION CHANNEL OPTIMIZATION[J]. Journal of Electronics & Information Technology, 1998, 20(1): 56-61.
Citation:
Liu Guoqing, Xiong Hong, Huang Shunji, A. Torre, F. Rubertone. CLASSIFICATION OF MULTI-LOOK POLARIMETRIC SAR IMAGERY AND POLARIZATION CHANNEL OPTIMIZATION[J]. Journal of Electronics & Information Technology, 1998, 20(1): 56-61.
In this paper, a new maximum likelihood (ML) classification algorithm is proposed to classify the multi-look polarimetric synthetic aperture radar (SAR) imagery. Experimental results with the NASA/JPL airborne L-band 4-look polarimetric SAR data demonstrate the effectiveness of the new algorithm. Furthermore, when using the algorithm in the classifications with subsets of the multi-look polarimetric SAR data, the polarization-channel optimization for the terrain type classification is implemented.
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