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Unique decomposition of a POLSAR coherency matrix using a generalized scattering model

机译:使用广义散射模型独特分解POLSAR一致性矩阵

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We propose a new POLSAR model-based decomposition with a generalized scattering model. The generalized scattering model is built by adding the ellipticity angle with the particle cloud model. The model is flexible so that it represents surface scattering, double-bounce, volume scattering, and helix scattering. Moreover, a decomposition procedure to use the generalized model is proposed. First, the model parameters are determined so that the resultant model matrix can be subtracted from the observed coherency matrix as much as possible with keeping the residual matrix positive semidefinite. Next, the same operation is applied to the residual matrix with a new parameter set. By repeating this process, the residual matrix becomes null at last and the decomposed matrices perfectly fit the observed one. The decomposition results were compared to the results of the eigenvalue-based decomposition. Due to the orientation randomness, the proposed decomposition makes the interpretation straightforward and has a possibility of making the classification easy.
机译:我们提出了一种具有广义散射模型的新的Polsar模型的分解。通过与粒子云模型添加椭圆度角来构建广义散射模型。该模型是灵活的,使其代表表面散射,双弹跳,体积散射和螺旋散射。此外,提出了使用广义模型的分解过程。首先,确定模型参数,使得可以尽可能多地从观察到的一致性矩阵中减去所得模型矩阵,并且保持残留矩阵正面半纤维。接下来,使用新参数集将相同的操作应用于残差矩阵。通过重复该过程,剩余矩阵最后变为空,并且分解矩阵完全适合观察到的矩阵。将分解结果与基于特征值的分解的结果进行比较。由于取向随机性,所提出的分解使得解释是简单的,并且可以容易地进行分类。

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