结合KSTEST统计检验方法的联合像素时序干涉SAR处理技术

Joint Scatterers Processing for Time-Series SAR Interferomtry with KSTEST Inference

联合像素干涉SAR处理技术属于第二代时序干涉SAR技术,技术流程分为3步:联合像素信号模型建立,拟合优度检验,空域自适应滤波。本文在一维KSTEST统计检验方法基础上,提出了基于多维联合像素的非参数拟合优度检验方法,利用实测数据将该方法与传统的多时相干涉SAR技术结果对比,使形变监测点空间密度得到有效提升,形变监测能力得到进一步提高。

Joint scatterers InSAR is the second-generation time-series InSAR technology, comprised of three technical procedures： building a joint scatterers signal model, performing a goodness-of-fit test, and conducting a spatial adaptive filtering. Based on one- dimensional KSTEST inference, the essay advances method of non-parametric goodness-of-fit test based on joint scatterers. In comparison with the results of conventional multi-temporal InSAR, the testing data based on the new methods have attested to an effective elevation in the spatial density of deformation monitoring points and a further improvement in the deformation monitoring capacity.