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Possibilities and Limits of Urban Change Detection Using Polarimetric SAR Data

机译:利用极化SAR数据检测城市变化的可能性和局限性

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This paper introduces the topic of urban change detection by means of fully and dual polarized multitemporal spaceborne SAR data. The aim is to be able to detect not only urban extent expansion/shrinking phenomena, but changes that may affect both the two- and the three-dimensional landscape. For fully polarized SAR, we further validate and refine a recently introduced approach based on superpixel segmentation followed by the computation of selected polarimetric parameters and the analysis of the difference among feature vectors using specialized distance metrics. As for dual polarized SAR data, a combination of interferometric and polarimetric features within the same framework is proved to perform decently, but no real advantage if using polarimetry is obtained. Test cases using UAVSAR and Sentinel-l data are presented in support of the proposed techniques.
机译:本文介绍了利用全极化和双极化多时相星载SAR数据进行城市变化检测的主题。目的是不仅能够检测城市范围的扩张/收缩现象,而且能够检测可能影响二维和三维景观的变化。对于全极化SAR,我们进一步验证和完善了最近引入的基于超像素分割的方法,然后使用选定的距离量度计算选定的极化参数并分析特征向量之间的差异。对于双极化SAR数据,已证明在同一框架内将干涉和极化特征结合起来表现不错,但如果使用极化技术,则没有真正的优势。提出了使用UAVSAR和Sentinel-1数据的测试用例,以支持所提出的技术。

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