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Volume 20 Issue 1
Jan.  1998
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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.

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

  • Received Date: 1996-04-26
  • Rev Recd Date: 1997-04-11
  • Publish Date: 1998-01-19
  • 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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  • Lim H, Swartz A A, et al. Classification of earth terrain using polarimetric SAR images[J].J. of Geophysical Research.1989, 94(136):7049-7057[2]De Grandi G, Lemoine G, Sieber A. Supervised Fully Polarimetric Classification: An Experimental Study on the Maestro-1 Freiburg Data Set. Proc. IGARSS92, Huston, TX, USA: 1992, 782-785.[3]Kong J A, Swartz A A, et al. Identification of terrain cover using the optimum polarimetric classifier. J. of Electromag. Waves and Appl., 1988, 2(2): 171-194.[4]Lee J S, Gruns M R. Classification of multi-look polarimetric SAR imagery based on complex Wishart[5]distribution. Int[J].J. Remote Sensing.1994, 15(11):2299-2311[6]Frost V S, Yurovsky L S. Maximum likelihood classification of synthetic aperture radar imagery[J].Computer Vision, Graphic and Image Processing.1985, 32(2):291-313[7]Lin Q, Allebach J P. Combating speckle in SAR imagery: Vector filtering and sequential classification based on a multiplicative noise model. IEEE Trans. on GE, 1990, GE-28(4): 674-653.[8]Ulaby F T, Elachi C (Ed.). Radar Polarimetry for Geoscience Application, MA: Artech House INC, 1990, Ch. 2.[9]刘国庆.极化合成孔径雷达成像的理论分析及应用研究:[博士论文].成都:电子科技大学,1996.
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