基于CORS的DInSAR大气延迟校正方法研究

针对利用GPS数据改正DInSAR大气延迟误差中存在CORS站点稀疏的问题，给出一种广义曲面拟合插值模型，并基于北京地区的GPS观测数据和SAR影像对比较了反距离加权插值模型（IDW）和曲面拟合插值模型（CSF）用于区域对流层延迟建模的精度，然后对SAR差分干涉图进行大气延迟校正。结果表明，曲面拟合模型比反距离加权模型更能反映区域单差对流层延迟特性，两次实验的插值精度分别达到了7.1和3.5 mm。采用CORS观测数据和曲面拟合内插模型，可有效削弱DInSAR中的大气延迟误差，提高DInSAR测量结果的精度。

Reduction of Atmospheric Effects on InSAR Interferograms Based on CORS

This paper is concerned with the problem of lack of CORS stations when using GPS data to correct the DInSAR atmospheric delay error. The paper puts forward a generalized curve surface fitting interpolation model and compares the precision of modeling regional tropospheric delay by using the inverse distance weighted interpolation model (IDW) and the curve surface fitting interpolation model (CSF), based on GPS observation data and SAR imaging data from Beijing. Further, it tries to conduct an atmospheric delay correction for SAR differential interferograms. The results show that compared with IDW, CSF can better reflect the delay features of the regional single difference tropospheric delay. In addition, the interpolation precisions of the two experiments are 7.1 mm and 3.5 mm respectively. By using CORS observation data and the CSF model, the atmospheric delay errors in DInSAR are effectively reduced and the precision of DInSAR measurement results is improved.