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分析了不同平台InSAR数据集的成像几何差异以及时空分辨率不一致对沉降场联合反演的影响,提出了多平台InSAR数据联合估计方法及其解决方案。将该方法应用于分析覆盖上海地区的18景TerraSAR-X、16景ENVISAT ASAR和20景ALOS PALSAR数据,提取了数据共同覆盖时间段内(2009年~2010年)的上海市地表沉降速率场分布,并与同期获取的水准数据进行了对比验证。实验结果表明,本文方法能有效的联合多组观测数据给出更精确的沉降估计结果,且无需外部数据校正。
Based on the analysis of the imaging geometric differences and inconsistent spatial and temporal resolution of the InSAR datasets of different platforms, the joint inversion of the settlement field is analyzed. A joint estimation method and its solution for multi-platform InSAR data are proposed. This method is applied to analyze the 18 TerraSAR-X, 16 Scene ENVISAT ASAR and 20 Scene ALOS PALSAR data covering the Shanghai area, and the ground surface sedimentation rate field distribution in Shanghai during the data coverage period (2009 ~ 2010) is extracted , And compared with the same level of access to data validation. The experimental results show that this method can effectively combine multiple sets of observation data to give more accurate settlement estimation results without external data correction.