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

机译：高分辨率SAR数据中改变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. Beforelaunch of TerraSAR-X, RADARSAT-2, or COSMO-SkyMed, the rather coarse resolution of operational SAR satellitesystems 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 urbanareas, which was before restricted to airborne SAR sensors. Change detection in SAR images is an important field ofresearch. 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 thepossibility, 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 arederived that are exploitable for change detection. Here the focus is on analysis at the object level to derive features thatare 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 investigationsare supported by simulations, which allow the creation of SAR images for different imaging constellations, bridgematerials, and even for situations with destroyed bridges.
机译：SAR是一种遥感技术，能够随时提供实际数据，在恶劣的天气条件下。 Terrasar-X，Radarsat-2或Cosmo-Skymed的BeFeelaunhe，运营SAR卫星系统的相当粗略分辨率允许分析Spailyborne SAR数据，仅对中型产品进行灾害管理。新一代Spainborne SAR卫星允许a即使是UrbanarAreas的对象水平也更详细分析，这是在仅限于机载SAR传感器的情况下。 SAR图像中的变更检测是一个重要的场景。通常，SAR图像中对象的外观强烈地取决于视角和视图方向。这使得在像素水平上的图像比较困难。将来自像素到对象级别的转换导致到最适的度，寻找更稳定的关于不同的成像星座的对象特征。桥梁是人类制造基础设施的关键元素。在本文中，分析了SAR数据中的桥梁的外观，并且具有可利用的变化检测的特征。这里重点是在对象级别分析来推导特征thatare关于成像星座或可基于给定成像constellation.Thereby被预测，不同的传感器的使用将有可能实现的实时信息的目标无论是稳定。通过模拟支持的调查，它允许为不同的成像星座，桥接材料的SAR图像创建SAR图像，甚至是销毁桥梁的情况。

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