Persistent scatterers at building facades – Evaluation of appearance and localization accuracy
Persistent scatterers at building facades – Evaluation of appearance and localization accuracy
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DOI：
10.1016/j.isprsjprs.2014.05.014
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发表时间：
2015-02
影响因子：
12.7
通讯作者：
S. Gernhardt;S. Auer;K. Eder
中科院分区：
文献类型：
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作者：
S. Gernhardt;S. Auer;K. Eder
由于现代合成孔径雷达卫星的高分辨率，许多持续散射体（PS）出现在单个建筑物。其中大约一半是建筑物的正面。这些点群通常在SAR图像中显示出规则的图案，这些图案可能与立面上的重复结构元素有关。因此，现在可以根据振幅（用于变化检测）或相位信息（使用干涉测量方法）随时间推移对单个建筑物进行监测。然而，当成像几何形状略有变化时，点签名的图案通常会被破坏或消失。此外，估计和地理编码的自然PS的定位精度尚不清楚。手头的调查提供了一个详细的分析PS模式的基础上获得的参考数据从摄影测量和地面测量。光学图像的处理允许创建各个立面的详细3D模型，其表示用于SAR模拟的几何对象信息。地面测量允许将3D模型与其在世界坐标系（如UTM（通用横轴墨卡托））中的真实位置相关联，这对于评估签名的定位精度是必要的。从模拟结果中可以更好地理解高分辨率SAR数据中自然PS的点模式的外观。此外，定位精度和精度为这些点可以推导出的第一次。本文详细介绍了慕尼黑两个案例研究的方法和结果。
Thanks to the high resolution of modern SAR satellites many persistent scatterers (PS) appear at single buildings. Approximately half of them represent building facades. These groups of points often show regular patterns in SAR images that can be related to repeating structure elements on the facades. Hence, individual buildings can now be monitored over time, either based on amplitude (for change detection) or phase information (using interferometric methods). However, patterns of point signatures are often disrupted or disappear when the imaging geometry is slightly changed. In addition, the localization accuracy of estimated and geocoded natural PS is not known, yet. The investigation at hand provides a detailed analysis of PS patterns based on reference data obtained from a photogrammetric survey and terrestrial measurements. The processing of the optical images allows creating a detailed 3D model of the respective facade, which represents the geometrical object information for SAR simulation. The terrestrial measurements allow relating the 3D model to its true position in a world coordinate system like UTM (Universal Transverse Mercator), which is necessary for assessing the localization accuracy of the signatures. From the simulation results the appearance of the point patterns of natural PS in high resolution SAR data can be better understood. Moreover, the localization accuracy and the precision for these points can be derived for the first time. The approach and findings for two case studies in Munich are described in detail in this paper.