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首页> 外文期刊>IEEE Geoscience and Remote Sensing Letters >PolSAR Coherency Matrix Optimization Through Selective Unitary Rotations for Model-Based Decomposition Scheme
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PolSAR Coherency Matrix Optimization Through Selective Unitary Rotations for Model-Based Decomposition Scheme

机译：POLSAR一致性矩阵通过选择性酉旋转进行模型的分解方案优化

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摘要

In this letter, a special unitary SU(3) matrix group is exploited for coherency matrix transformations to decouple the energy between orthogonal states of polarization. This decoupling results in the minimization of the cross-polarization power along with the removal of some off-diagonal terms of coherency matrix. The proposed unitary transformations are utilized on the basis of the underlying dominant scattering mechanism. By doing so, the reduced power from the cross-polarization channel is always concentrated on the underlying dominant copolar scattering component. This makes it unique in comparison to state-of-the-art techniques. The proposed methodology can be adopted to optimize the coherency matrix to be used for the model-based decomposition methods. To verify this, pioneer three-component decomposition model is implemented using the proposed optimized coherency matrix of two different test sites. The comparative studies are analyzed to show the improvements over state-of-the-art techniques.
机译：在这封信中，利用特殊的单一SU（3）矩阵基团进行一致性矩阵变换，以将能量与极化正交状态之间的能量分离。该解耦导致最小化交叉偏振功率以及去除一些非对角矩阵的偏差矩阵。基于潜在的显性散射机制利用所提出的单一变换。通过这样做，来自交叉偏振通道的降低的功率总是集中在底层的显性共同的散射部件上。与最先进的技术相比，这使得它是独一无二的。可以采用所提出的方法来优化适用于基于模型的分解方法的一致性矩阵。为了验证这一点，使用两个不同的测试站点的所提出的优化一致性矩阵来实现先驱三分量分解模型。分析了比较研究以显示出改善最先进的技术。

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