CLASSIFICATION OF MULTI-LOOK POLARIMETRIC SAR IMAGERY AND POLARIZATION CHANNEL OPTIMIZATION

查看全文 作　　者：Liu Guoqing Xiong Hong Huang Shunji A. Torre F. Rubertone(College of Electron. Eng., Univ. of Electron. Sci. & Tech. of China, Chengdu 610054) (Dept. of Remote Sensing, Alenia Spazio SPA, Rome 00131, Italy) 出　　处：《Journal of Electronics(China)》索引1998年第15卷第4期,共6页 基　　金：This work was performed at Alenia Spazio,Rome,Italy.It was a part of the cooperation project between Alenia Spazio and University of Electronic Science and Technology of China,Chengdu,China 摘　　要：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 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. 关 键 词：Polarimetric SAR Multi-look processing SPECKLE CLASSIFICATION Polarization-channel OPTIMIZATION