Abstract: 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 troposphetic 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.