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Optimum selection of common master image for ground deformation monitoring based on PS-DInSAR technique
Authors:Zhu Zhengwei  Zhou Jianjiang
Institution:1. Coll. of Information Science and Technology, Nanjing Univ. of Aeronautics and Astronautics, Nanjing 210016, P. R. China;School of Information Engineering, Southwest Univ. of Science and Technology, Mi
2. Coll. of Information Science and Technology, Nanjing Univ. of Aeronautics and Astronautics, Nanjing 210016, P. R. China
Abstract:Considering the joint effects of various factors such as temporal baseline, spatial baseline, thermal noise, the difference of Doppler centroid frequency and the error of data processing on the interference correlation, an optimum selection method of common master images for ground deformation monitoring based on the permanent scatterer and differential SAR interferometry (PS-DInSAR) technique is proposed, in which the joint correlation coefficient is used as the evaluation function. The principle and realization method of PS-DInSAR technology is introduced, the factors affecting the DInSAR correlation are analysed, and the joint correlation function model and its solution are presented. Finally an experiment for the optimum selection of common master images is performed by using 25 SAR images over Shanghai taken by the ERS-1/2 as test data. The results indicate that the optimum selection method for PS-DInSAR common master images is effective and reliable.
Keywords:remote sensing  ground deformation monitoring  differential SAR interferometry  common master image  permanent scatterer  synthetic aperture radar  image analysis
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