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Detecting changes between a DSM and a high resolution SAR image with the support of simulation based separation of urban scenes

机译:在基于模拟的城市场景分离支持下,检测DSM和高分辨率SAR图像之间的变化

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As a SAR image is often the only available data in crisis situations, e.g. after an earthquake, a change analysis of the SAR image with previously acquired data may enable a fast analysis of the damage caused by the disaster. This paper presents a method for change analysis of the simulated appearance of a digital surface model (DSM) and a SAR image. A simulated SAR image is generated using the DSM and is separated into four masks indicating double bounce reflection, layover, shadow areas and ground reflection. Temporal changes of the corresponding areas in the real SAR image are analysed using pixel-based methods. Finally, the change detection results for the four masks are combined in order to obtain a robust change analysis result for single buildings. In this regard, the application of the proposed concept is presented for the city centre of Munich using TerraSAR-X data.
机译:由于SAR图像通常是危机情况下唯一可用的数据,例如地震后,使用先前获取的数据对SAR图像进行变化分析,可以快速分析灾难造成的破坏。本文提出了一种对数字表面模型(DSM)和SAR图像的模拟外观进行变化分析的方法。使用DSM生成模拟的SAR图像,并将其分成四个遮罩,分别表示两次反射,重叠,阴影区域和地面反射。使用基于像素的方法分析实际SAR图像中相应区域的时间变化。最后,将四个遮罩的变化检测结果组合在一起,以获得单个建筑物的可靠变化分析结果。在这方面,使用TerraSAR-X数据将建议的概念应用于慕尼黑市中心。

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