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针对伯克利山的滑坡问题,利用从1992年到2010年期间获得的大量ERS1/2,Radarsat-1,TerraSAR-X星载雷达数据,提出运用永久散射体(PS-InSAR,Persistent Scatterer Interferometry Synthetic Aperture Radar)技术,以一幅主图像为基准,与其他SAR图像分别进行差分干涉处理,并限定幅度和相位双重阈值选择PS点,分析其相位在时域空域的频谱特性,最后通过滤波处理提取形变部分,结果成功地定位了伯克利山的滑坡区域,得到了地形的形变速率,为今后的灾害预警打下了基础.
Aiming at the landslide problem in Berkeley Hill, the use of Persistent Scatterer Interferometry Synthetic Aperture Radar (PS-InSAR) based on a large number of ERS1 / 2, Radarsat-1 and TerraSAR-X spaceborne radar data obtained from 1992 to 2010, ) Technology, a main image as a benchmark, respectively, and other SAR images were subjected to differential interference processing, and limited the amplitude and phase double threshold selection PS point, analyze the phase spectral characteristics in the time domain airspace, and finally filtered by the deformation part As a result, the landslide area of Berkeley Hill was successfully located and the deformation rate of the terrain was obtained, laying the foundation for future disaster early warning.