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Proceedings Paper • new

robust feature matching for slant sar image registration based on differentially constrained ransac
Author(s): Xin Xiong; Guowang Jin; Qing Xu; Xin Gao; Ying Cai
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Paper Abstract

This paper proposes a robust feature matching for slant SAR images based on differentially constrained RANSAC. Firstly, we obtain a set of initial matches provided by SAR-SIFT operator. Then, we set a differentially constrained model with strong constraint in the azimuth direction and no constraint in the distance direction. We use the nearest neighbor contrast (NNC) and the distance offset definition (DOD) techniques to eliminate outliers with large distance distortion. Experiments are carried out on Chinese spaceborne and airborne SAR images. The results show that the proposed method has excellent performance in accuracy, distribution and efficiency, and is suitable for matching SAR images covering areas with large terrain fluctuations such as mountainous areas.

Paper Details

Date Published: 6 May 2019
PDF: 8 pages
Proc. SPIE 11069, Tenth International Conference on Graphics and Image Processing (ICGIP 2018), 110690V (6 May 2019); doi: 10.1117/12.2524232
Show Author Affiliations
Xin Xiong, Information Engineering Univ. (China)
Guowang Jin, Information Engineering Univ. (China)
Qing Xu, Information Engineering Univ. (China)
Xin Gao, Information Engineering Univ. (China)
Ying Cai, Science and Technology on Near-Surface Detection Lab. (China)


Published in SPIE Proceedings Vol. 11069:
Tenth International Conference on Graphics and Image Processing (ICGIP 2018)
Chunming Li; Hui Yu; Zhigeng Pan; Yifei Pu, Editor(s)

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