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| CLASSIFICATION OF MULTI-LOOK POLARIMETRIC SAR IMAGERY AND POLARIZATION CHANNEL OPTIMIZATION |
| Liu Guoqing①; Xiong Hong①; Huang Shunji①; A. Torre②; F. Rubertone② |
| ①College of Electron. Eng.,Univ. of Electron. Sci. & Tech. of China Chengdu 610054;②Dept. of Remote Sensing; Alenia Spazio SPA; Rome 00131; Italy |
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Abstract 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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Received: 26 April 1996
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1998, Vol. 20 
