Permanent scatterers in SAR interferometry
Permanent scatterers in SAR interferometry
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DOI：
10.1109/36.898661
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发表时间：
2001-01-01
影响因子：
8.2
通讯作者：
Rocca, F
中科院分区：
文献类型：
--
作者：
Ferretti, A;Prati, C;Rocca, F
时间和几何去相关往往阻碍了合成孔径雷达干涉测量作为地表形变监测和地形轮廓重建的实用工具。此外，大气干扰会严重影响结果的准确性。本文介绍了从长时间序列干涉SAR图像中识别和利用稳定的自然反射体或永久散射体(PSS)的完整过程。当PS的维度小于分辨率单元时，即使对于基线大于去相关的干涉图，相干也是很好的，并且可以成功地利用ESA ERS数据集的所有可用图像。在这些像素点上，可以估计和去除大气相位屏(APS)的贡献，因此可以实现亚米级DEM精度和毫米级地形运动检测。然后展示了小运动测量、DEM精化以及在意大利安科纳滑动区情况下的BPS估计和去除的例子，已经使用了ERS数据。
Temporal and geometrical decorrelation often prevents SAR interferometry from being an operational tool for surface deformation monitoring and topographic profile reconstruction. Moreover, atmospheric disturbances can strongly compromise the accuracy of the results. In this paper, we present a complete procedure for the identification and exploitation of stable natural reflectors or permanent scatterers (PSs) starting from long temporal series of interferometric SAR images. When, as it often happens, the dimension of the PS is smaller than the resolution cell, the coherence is goad even for interferograms with baselines larger than the decorrelation one, and all the available images of the ESA ERS data set can be successfully exploited. On these pixels, submeter DEM accuracy and millimetric terrain motion detection can be achieved, since atmospheric phase screen (APS) contributions can be estimated and removed. Examples are then shown of small motion measurements, DEM refinement, and BPS estimation and removal in the case of a sliding area in Ancona, Italy ERS data have been used.