首页> 美国卫生研究院文献>Sensors (Basel Switzerland) >On the Effects of InSAR Temporal Decorrelation and Its Implications for Land Cover Classification: The Case of the Ocean-Reclaimed Lands of the Shanghai Megacity
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On the Effects of InSAR Temporal Decorrelation and Its Implications for Land Cover Classification: The Case of the Ocean-Reclaimed Lands of the Shanghai Megacity

机译:InSAR时间去相关的影响及其对土地覆被分类的意义-以上海特大城市的海垦地为例

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摘要

In this work, we focused on the ocean-reclaimed lands of the Shanghai coastal region and we evidenced how, over these areas, the interferometric synthetic aperture radar (InSAR) coherence maps exhibit peculiar behavior. In particular, by analyzing a sequence of Sentinel-1 SAR InSAR coherence maps, we found a significant coherence loss over time in correspondence to the ocean-reclaimed platforms that are substantially different from the coherence loss experienced in naturally-formed regions with the same type of land cover. We have verified whether this is due to the engineering geological conditions or the soil consolidation subsidence in ocean-reclaimed region. In this work, we combine the information coming from InSAR coherence maps and the retrieved temporal decorrelation model with that obtained by using optical Sentinel-2 data, and we performed land cover classification analyses in the zone of the Pudong International Airport. To estimate the accuracy of utilizing InSAR coherence information for land cover classification, in particular, we have analyzed what causes the difference of the InSAR coherence loss with the same type of land cover. The presented results show that the coherence models can be useful to distinguish roads and buildings, thus enhancing the accuracy of land cover classification compared with that allowable by using only Sentinel-2 data. In particular, the accuracy of classification increases from 75% to 86%.
机译:在这项工作中,我们重点研究了上海沿海地区的开垦海域,并证明了干涉合成孔径雷达(InSAR)相干图在这些区域上如何表现出独特的行为。特别是,通过分析Sentinel-1 SAR InSAR相干图序列,我们发现随着时间的推移,与海洋回收平台相对应的显着相干损耗与在自然形成的具有相同类型区域的相干损耗明显不同土地覆盖。我们已经证实这是由于工程地质条件还是由于海洋填海区的土壤固结沉降所致。在这项工作中,我们将InSAR相干图和检索到的时间去相关模型的信息与使用光学Sentinel-2数据获得的信息相结合,并在浦东国际机场区域内进行了土地覆盖分类分析。为了评估利用InSAR相干信息进行土地覆盖分类的准确性,特别是,我们分析了造成同一类型土地覆盖的InSAR相干损失差异的原因。提出的结果表明,相干模型可用于区分道路和建筑物,从而与仅使用Sentinel-2数据所允许的模型相比,可提高土地覆盖分类的准确性。特别是,分类的准确性从75%提高到86%。

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