中文摘要：

利用一种站间和历元间的双差算法来计算InSAR结果的大气改正量。为了逐像素改正InSAR结果，引入自适应参数的支持向量机（SVM），利用稀疏的GPS站网上所获得的大气改正值回归估计未知像元上的对流层改正值。采用南加州GPS集成网络（SCIGN）数据验证了该方法的可行性。

英文摘要：

A between-site and between-epoch double-differencing algorithm for the generation of tropospheric corrections to InSAR results based on GPS observations is applied. In order to correct the radar results on a pixel-by-pixel basis, the support vector machine（SVM） with adaptive parameters is introduced to regressively estimate tropospheric corrections over unknown points using the sparse GPS-derived corrections. The feasibility of applying SVM in tropospheric corrections estimation is examined by using data from the southern california integrated GPS network （SCIGN）. Cross-validation tests show that SVM method is more suitable to interpolate tropospheric delays than the conventional inverse distance weighted（IDW） method.