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基于高分辨率TerraS AR-X数据,利用DInS AR和PSI技术监测山区重复采动引起的地表沉陷。在DInS AR数据处理过程中,分别利用SRTM、基于矿区大比例尺航测地形图生成的relief-DEM对外部DEM的影响进行分析评价。结果表明,由于研究区的地形复杂,SRTM无法充分补偿地形相位。随后,利用在矿区范围内布设的角反射器对基于不同外部DEM的地理编码进行检验,结果显示,基于relief-DEM的地理编码精度明显较优,其在X、Y方向的地理编码中误差分别为6.35 m和11.65 m。对于PSI技术,为了降低形变梯度过大对相位解缠的影响,基于时序DInS AR的处理结果,对识别出来的PS点进行掩模,使得只有位于沉陷边缘和稳定区域的PS点用于PSI分析处理。结果表明,PSI技术可以进一步优化时序DIn SAR获取的地表形变边界信息。
Based on high-resolution TerraS AR-X data, DInS AR and PSI techniques are used to monitor surface subsidence caused by reclaimed mountains. During DInS AR data processing, the impact of external relief DEMs based on SRTM and relief-DEMs generated from large scale aerial mapping topographic maps of mines was analyzed and evaluated respectively. The results show that due to the complex terrain of the study area, SRTM can not fully compensate the terrain phase. Subsequently, the georeferenced codes based on different external DEMs were tested by the corner reflectors deployed in the mining area. The results show that the geocoding accuracy based on relief-DEM is obviously superior, and the errors in geocoding in X and Y directions are respectively 6.35 m and 11.65 m. For the PSI technique, in order to reduce the influence of over-large deformation gradient on phase unwrapping, the recognized PS points are masked based on the processing results of the timing DInS AR, so that only the PS points located on the subsidence and stability regions are used for PSI analysis deal with. The results show that the PSI technique can further optimize the surface deformation boundary information acquired by the sequential DIn SAR.