Speckle filtering in polarimetric SAR data based on the subspace decomposition

被引：22
作者：
Gu, J [1 ]
Yang, J
Zhang, H
Peng, YN
Wang, C
Zhang, H
机构：
[1] Tsing Hua Univ, Dept Elect Engn, Beijing 100084, Peoples R China
[2] Inst Remote Sensing Applicat, Beijing 100101, Peoples R China
来源：
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING | 2004年 / 42卷 / 08期
基金：
中国国家自然科学基金;
关键词：
radar polarimetry; speckle filtering; synthetic aperture radar (SAR);
D O I：
10.1109/TGRS.2004.830610
中图分类号：
P3 [地球物理学]; P59 [地球化学];
学科分类号：
0708 ; 070902 ;
摘要：
In this paper, a new approach to speckle filtering of synthetic aperture radar (SAR) data is presented. We define a parameter space consisting of two orthogonal subspaces-the signal subspace and the noise subspace. Then, the full polarimetric information from the signal subspace is obtained after speckle filtering. In this way, edges of different kinds of targets are preserved. The effectiveness of this method is demonstrated using the National Aeronautics and Space Administration Jet Propulsion Laboratory airborne L-band polarimetric SAR data.
引用
收藏
页码：1635 / 1641
页数：7
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