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Volume 28 Issue 9
Sep.  2010
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Wu Yong-hui, Ji Ke-feng, Yu Wen-xian. A Multi-channel Extension of Polarimetric Whitening Filter[J]. Journal of Electronics & Information Technology, 2006, 28(9): 1590-1593.
Citation: Wu Yong-hui, Ji Ke-feng, Yu Wen-xian. A Multi-channel Extension of Polarimetric Whitening Filter[J]. Journal of Electronics & Information Technology, 2006, 28(9): 1590-1593.

A Multi-channel Extension of Polarimetric Whitening Filter

  • Received Date: 2004-12-27
  • Rev Recd Date: 2005-05-15
  • Publish Date: 2006-09-19
  • In order to reduce the effect of speckle on classification and detection, the polarimetric synthetic aperture radar imagery should be preprocessed to suppress speckle. The Polarimetric Whitening Filter (PWF) is efficient in speckle suppression by using complex data of three polarimetric channels. Nevertheless, it only outputs one channel of data. In this paper, a method called Multi-Channel Polarimetric Whitening Filter (MCPWF) is presented. It maintains the optimal speckle reduction performance of the PWF, and three polarimetric channels of output are obtained as well, so that fully polarimetric data can also be used in advanced processing. The effectiveness of the MCPWF is verified through experimental results of Pi-SAR data.
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  • Zebker H A, van Zyl J J, Held D N. Imaging radar polarimetry from wave synthesis[J].Journal of Geophysics Research.1987, 92 (B1):683-701[2]Lee J S, Grunes M R, Mango S A. Speckle reduction in multipolarization and multifrequency SAR imagery. IEEE Trans. on GRS, 1991, 29 (4): 535-544.[3]Novak L M, Burl M C. Optimal speckle reduction in polarimetric SAR imagery. IEEE Trans. on AES, 1990, 26 (2): 293-305.[4]Liu Guoqing, Huang Shunji, Torre A, et al.. The Multilook Polarimetric Whitening Filter (MPWF) for intensity speckle reduction in polarimetric SAR images. IEEE Trans. on GRS, 1998, 36 (3): 1016-1020.[5]刘国庆, 黄顺吉, 熊红等. 多视极化SAR图像相干斑抑制的研究. 电子科学学刊, 1998,20 (3): 379-385.[6]皮亦鸣, 邹琪, 黄顺吉. 极化SAR相干斑抑制极化白化滤波器[J].电子与信息学报.2002, 24 (5):597-603浏览[7]Barnes R M. Detection of randomly polarized target. [Ph. D. dissertation], Department of Electrical Engineering, Northeastern University, Boston, MA, 1984, 6.[8]Novak L M, Burl M C, Irving W W. Optimal polarimetric processing for enhanced target detection. IEEE Trans. on AES, 1993, 29 (1): 234-244.
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