Abstract:

A new weighted stacking approach considering the quality weight of coherence image was put forward, whose weight is set according to the quanlity of coherent points in the coherent images, this method can avoid low-coherence images’ participation in weighted calculation. The basic principle and data processing flow of weighted stacking based on common master image were introduced first. Then Its mathematical model of optimum selection of the common master image, weakening influence of atmospheric delay and increasing SNR（Signal to Noise Ratio）was improved. which reduces the requirements of image quantity, and higher surveying precision. Based on ENVISAT ASAR data of 11 scenes from Tianjin district during the period of 2003-2006, Image No.14529 was selected as a common master image by model optimization to calculate ground subsidence in weighted Stacking. Its precision is as high as high-precision leveling, higher than the conventional DInSAR and Stacking.

Key words: synthetic aperture radar differential interferometry, images weighted stacking, common master image, subsidence monitoring