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首页> 外文期刊>IEEE Transactions on Geoscience and Remote Sensing >Comparison of Nonnegative Eigenvalue Decompositions With and Without Reflection Symmetry Assumptions
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Comparison of Nonnegative Eigenvalue Decompositions With and Without Reflection Symmetry Assumptions

机译:有和没有反射对称性假设的非负特征值分解的比较

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摘要

Nonnegative eigenvalue decomposition (NNED), which insists and guarantees that each decomposed scattering component corresponds to a physically realizable scatterer, is powerful for polarimetric synthetic aperture radar (SAR) images analysis. Previous NNED is mainly illustrated under the reflection symmetric condition. In this paper, the coherency matrix approach is derived to implement the NNED for the nonreflection symmetry scattering case. We explicitly show the diversifications of the decomposition results between NNED with and without reflection symmetry assumptions, and quantitatively analyze the differences between them using the E-SAR polarimetric data acquired over the Oberpfaffenhofen area in Germany.
机译:非负本征值分解(NNED)坚持并保证每个分解的散射分量都对应于一个物理上可实现的散射体,它对极化合成孔径雷达(SAR)图像分析具有强大的功能。先前的NNED主要在反射对称条件下进行说明。本文推导了相干矩阵方法,以在非反射对称散射情况下实现NNED。我们明确显示了具有和不具有反射对称性假设的NNED之间分解结果的多样性,并使用在德国Oberpfaffenhofen地区获得的E-SAR极化数据定量分析了它们之间的差异。

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