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Feature Extraction of Bridges for Change Detection in High Resolution SAR Data

机译：高分辨率SAR数据中用于变化检测的桥梁特征提取

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SAR is a remote sensing technique capable to deliver actual data at any time and under bad weather conditions. Before launch of TerraSAR-X, RADARSAT-2, or COSMO-SkyMed, the rather coarse resolution of operational SAR satellite systems allowed an analysis of spaceborne SAR data in case of disaster management only for medium scale products. The new generation of spaceborne SAR satellites permits a more detailed analysis at the object level even for urban areas, which was before restricted to airborne SAR sensors. Change detection in SAR images is an important field of research. In general, the appearance of objects in SAR images strongly depends on the viewing angle and look direction. This makes a comparison of images on a pixel level difficult. The changeover from pixel- to object level leads to the possibility, to look for object-features that are more stable concerning different imaging constellations. Bridges are key-elements of man made infrastructure. In this paper the appearance of bridges in SAR data is analyzed and features are derived that are exploitable for change detection. Here the focus is on analysis at the object level to derive features that are either stable concerning the imaging constellations or that can be predicted based on a given imaging constellation. Thereby, the usage of different sensors will be possible to achieve the goal of real time information. The investigations are supported by simulations, which allow the creation of SAR images for different imaging constellations, bridge materials, and even for situations with destroyed bridges.
机译：SAR是一种遥感技术，能够在恶劣天气条件下随时提供实际数据。在发射TerraSAR-X，RADARSAT-2或COSMO-SkyMed之前，由于运行中的SAR卫星系统的分辨率相当低，因此在仅针对中型产品进行灾难管理的情况下，可以对星载SAR数据进行分析。新一代星载SAR卫星甚至可以在城市地区对物体进行更详细的分析，而以前仅限于机载SAR传感器。 SAR图像中的变化检测是一个重要的研究领域。通常，SAR图像中对象的外观在很大程度上取决于视角和观看方向。这使得难以在像素水平上比较图像。从像素级到对象级的转换导致寻找关于不同成像星座图更稳定的对象特征的可能性。桥梁是人造基础设施的关键要素。本文分析了SAR数据中桥的外观，并推导了可用于变化检测的特征。这里的重点是在对象级别进行分析，以得出关于成像星座图稳定的特征，或者可以基于给定的成像星座图进行预测的特征。因此，使用不同的传感器将可能实现实时信息的目标。这些研究得到了仿真的支持，仿真可以为不同的成像星座，桥梁材料甚至桥梁受损的情况创建SAR图像。

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