Three-component decomposition for polarimetric SAR
Three-component decomposition for polarimetric SAR
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极化 SAR 的三分量分解
DOI：
10.1109/igarss.2009.5417862
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发表时间：
2009
期刊：
影响因子：
--
通讯作者：
Jian Yang
中科院分区：
文献类型：
--
作者：
W. An;Yi Cui;Jian Yang
提出了一种改进的极化SAR数据三分量分解方法。分析了Freeman分解中出现负幂的原因，并提出了两种改进方法。首先对相干矩阵进行去取向处理，然后将其分解为三个散射分量。然后，用具有最大极化熵的相干矩阵，即单位矩阵，代替Freeman分解中采用的原模型，作为新的体散射模型。在德国Oberpfaffenhofen地区获得的E-SAR极化数据的实验应用，以证明新模型的有效性。
An improved three-component decomposition for polarimetric SAR data is proposed in this paper. The reasons of the emergence of negative powers in the Freeman decomposition have been analyzed, and two improvements are included. Firstly, the deorientation process is applied to the coherency matrix before it is decomposed into three scattering components. Then, the coherency matrix with the maximal polarimetric entropy, i.e, the unit matrix is used as the new volume scattering model instead of the original one adopted in the Freeman decomposition. The E-SAR polarimetric data acquired over the Oberpfaffenhofen area in Germany are applied for experiment to demonstrate the effectiveness of the new model.