Four-Component Decomposition of Polarimetric SAR Images With Deorientation
Four-Component Decomposition of Polarimetric SAR Images With Deorientation
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DOI：
10.1109/lgrs.2011.2157078
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发表时间：
2011-06
影响因子：
4.8
通讯作者：
W. An;Chunhua Xie;Xinzhe Yuan;Yi Cui;Jian Yang
中科院分区：
文献类型：
--
作者：
W. An;Chunhua Xie;Xinzhe Yuan;Yi Cui;Jian Yang
提出了一种用于多视极化合成孔径雷达（PolSAR）数据分析的去方向修正Yamaguchi分解。首先对相干矩阵进行去定向，然后利用山口分解将相干矩阵分解为四个分量。一种特殊的目标被发现，原来的山口分解输出是不合适的。这个问题是通过在Yamaguchi分解之前应用解取向来解决的。此外，解定向过程增强了分解输出中来自城市区域的双反弹散射。山口分解与无定向的比较显示从机载和星载系统的PolSAR数据。
A modified Yamaguchi decomposition with deorientation is proposed for analyzing multilook polarimetric synthetic aperture radar (PolSAR) data. Deorientation is first applied to a coherence matrix; then, the coherence matrix is decomposed into four components by the Yamaguchi decomposition. A special kind of target is found for which the original Yamaguchi decomposition output is not appropriate. This problem is solved by applying deorientation prior to the Yamaguchi decomposition. Moreover, the deorientation procedure enhances double-bounce scattering from urban areas in the decomposition output. Comparisons of the Yamaguchi decompositions with and without deorientation are shown for PolSAR data from both airborne and spaceborne systems.