期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2004
卷号：XXXV Part B2
页码：581-585
出版社：Copernicus Publications
摘要：D-InSAR data of ground surface deformation have uncertainty caused by several sources associated with image acquisitions and data pro cessing. In this study, these data are modeled as the sum of a trend, a zero- mean stochastic process and white noise. The aim is to improve their accuracy by correcting the errors using measurements as the ground truth. A geostatistical approach integrates D-InSAR subsidence data with in situ leveling measurements. Discrepancies between the true subsidence values and original D-InSAR measurements are analyzed at leveling points using variograms and predicted at unvisited points using kriging. The proposed method is applied to the data collected in the where land subsidence occurs due to groundwater extraction in the Tianjin area in China. Results demonstrate the capability of D-InSAR to detect subsidence at the cm-level, and of using a limited number of leveling points to improve the accuracy of D-InSAR deformation measurements provided the coherence of images used is high enough. In addition, localization of leveling points is optimized
