Tie Point Extraction for SAR Images with Same Side-looking Direction from Different Trajectories Based on Differential Constraints

doi:10.11947/j.AGCS.2018.20170129

Abstract

Abstract: In order to extract tie points for SAR image block adjustment automatically and steadily,a method of tie point extraction based on differential constraints for SAR images with same side-looking direction from different trajectories is presented.It is aiming at SAR images with same side-looking direction and approximately parallel tracks,whose relative geometric distortion is small in azimuth and large in range.Firstly,image pyramids are built for two SAR images,and then these images are matched with correlation coefficient calculated by rectangular window with increased azimuth side from the top layer to the bottom layer.Mismatched points are removed by RANSAC algorithm with differential constraints.Coordinates for points in lower pyramid images are estimated with global bilinear transformation model in azimuth and local bilinear transformation model in range.Experiments performed on Envisat ASAR images and Chinese airborne SAR images validated the proposed method.

Key words: synthetic aperture radar, tie points, matching, extraction, differential constraints

CLC Number:

P231

JIN Guowang, XIONG Xin, ZHANG Hongmin, XU Qing, LIU Hui, WANG Xintian. Tie Point Extraction for SAR Images with Same Side-looking Direction from Different Trajectories Based on Differential Constraints[J]. Acta Geodaetica et Cartographica Sinica, 2018, 47(1): 91-101.

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