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根据高分辨率SAR影像的特点,基于目标分解理论定义极化SAR异质度,利用极化干涉相干最优目标分解思想提出极化干涉SAR异质度,并利用ESAR提供的数据对分割算法进行试验研究。将极化干涉数据的分割结果和极化数据的分割结果进行对比,从而验证了极化干涉SAR异质度的分割精度更高。
According to the characteristics of high-resolution SAR images, the degree of heterogeneity of polarimetric SAR is defined based on the theory of target decomposition, and the degree of heterogeneity of polarimetric interferometric SAR is proposed by the idea of coherent optimal target decomposition of polarized interference. The segmentation algorithm Experimental Research. Comparing the segmentation result of polarization interference data with the segmentation result of polarization data, it is verified that the segmentation accuracy of the heterogeneous degree of polarization interference SAR is higher.