In this paper, change detection with multi-polarization SAR imagery is focused. Based on the polarimetric statistic distribution, a polarimetric test statistic is applied to evaluate the equality of two areas in two pass polarimetric SAR images. And then, in order to find out the `real' changed area, a constant false alarms rate (Pfa) is given to determine a threshold for change detection. Moreover, a majority processing considering the context information of a given target is preferred to improving the final accuracy of the change detection. Finally, the proposed method was tested with the multitemporal Envisat-ASAR's alternative polarization SAR data. Experiments are performed to validate efficiency of the method presented in the paper.
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机译:本文着重研究多极化SAR图像的变化检测。基于极化统计量分布,应用极化检验统计量来评估两遍极化SAR图像中两个区域的相等性。然后,为了找出“实际”变化区域,给出了恒定的误报率(P fa inf>),以确定变化检测的阈值。此外,考虑到给定目标的上下文信息的多数处理对于提高变化检测的最终精度是优选的。最后,将所提出的方法与多时相Envisat-ASAR的替代极化SAR数据进行了测试。进行实验以验证本文提出的方法的效率。
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