A stereo positioning method of GaoFen-3 SAR images under different time and space conditions

doi:10.7523/j.issn.2095-6134.2021.04.011

Journal of University of Chinese Academy of Sciences ›› 2021, Vol. 38 ›› Issue (4): 519-523.DOI: 10.7523/j.issn.2095-6134.2021.04.011

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A stereo positioning method of GaoFen-3 SAR images under different time and space conditions

LI Dan^1,2, LIU Jiayin¹

1. Key Laboratory of Technology in Geo-Spatial Information Processing and Application Systems of CAS, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China;
2. School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China

Received:2019-11-08 Revised:2020-03-02 Online:2021-07-15

Abstract

Abstract: This paper introduces a reliable stereo positioning method of GaoFen-3 synthetic aperture radar (SAR) images. The method can achieve high positioning accuracy even if the spatial and temporal conditions of the stereo image differ greatly. Firstly, the stereo positioning equations are established according to the range-Doppler model, and then the polynomial fitting method is used to obtain the state vectors of the satellite. Finally, the equations are solved by Newton's method. In this paper, stereo location experiments are carried out with 7 SAR images of Beijing, Shanghai, and Suzhou with different imaging times. The resolutions of these images are within 5 m. Verification based on Google Earth image shows that the plane errors of all the targets are within 30 m, and the height errors are within 34 m. It is proved that even if the imaging time intervals of the stereo SAR image pairs are long, the 3D information with high accuracy can also be obtained. Besides, the localization accuracy of the SAR image pair from spotlight mode is the highest.

Key words: SAR image pair, GaoFen-3, range-Doppler model, polynomial fitting method, Newton's method

CLC Number:

TP79

LI Dan, LIU Jiayin. A stereo positioning method of GaoFen-3 SAR images under different time and space conditions[J]. Journal of University of Chinese Academy of Sciences, 2021, 38(4): 519-523.

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A stereo positioning method of GaoFen-3 SAR images under different time and space conditions

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