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首页> 外文期刊>Geoscience and Remote Sensing, IEEE Transactions on >PolInSAR Coherence Region Modeling and Inversion: The Best Normal Matrix Approximation Solution
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PolInSAR Coherence Region Modeling and Inversion: The Best Normal Matrix Approximation Solution

机译：PolInSAR相干区域建模和反演：最佳法线矩阵近似解

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摘要

In this paper, we address the theoretical aspects of coherence region modeling and its inversion methods for polarimetric interferometric synthetic aperture radar (PolInSAR). Instead of only considering the geometrical shape of the coherence region, we focus on directly modeling the whitened interferometric cross-correlation matrix of the PolInSAR data. In particular, we consider three classes of generic scattering models that respectively contain single, double, and triple phase centers within one resolution cell. We then demonstrate, for each class, that the modeled whitened interferometric cross-correlation matrix is normal. Based on this property, we propose, for each case, efficient algorithms to obtain the best normal matrix approximation solution for model inversion from the observed whitened interferometric cross-correlation matrix. In addition, we show how a simple and effective criterion can be designed from the derived solutions for model validation. Finally, we verify the solutions with both simulated and real data. The results prove the proposed method to be a very promising tool for PolInSAR applications.
机译：在本文中，我们讨论了相干区域建模的理论方面及其用于极化干涉式合成孔径雷达（PolInSAR）的反演方法。我们不仅仅考虑相干区域的几何形状，而是着重于直接对PolInSAR数据的白化干涉互相关矩阵建模。特别地，我们考虑三类通用散射模型，它们分别在一个分辨率的像元中包含单相，双相和三相中心。然后，对于每个类别，我们证明建模的白化干涉互相关矩阵是正常的。基于此属性，我们针对每种情况提出了一种有效的算法，可以从观察到的增白干涉互相关矩阵中获得用于模型反演的最佳正态矩阵近似解。此外，我们展示了如何从派生的解决方案中为模型验证设计一个简单有效的标准。最后，我们用模拟和真实数据验证了解决方案。实验结果证明了该方法对于PolInSAR应用具有很好的应用前景。

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