robust feature matching for slant sar image registration based on differentially constrained ransac

Xin Xiong; Guowang Jin; Qing Xu; Xin Gao; Ying Cai

doi:10.1117/12.2524232

6 May 2019 robust feature matching for slant sar image registration based on differentially constrained ransac

Xin Xiong, Guowang Jin, Qing Xu, Xin Gao, Ying Cai

Proceedings Volume 11069, Tenth International Conference on Graphics and Image Processing (ICGIP 2018); 110690V (2019) https://doi.org/10.1117/12.2524232
Event: Tenth International Conference on Graphic and Image Processing (ICGIP 2018), 2018, Chengdu, China

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.

Citation Download Citation

Xin Xiong, Guowang Jin, Qing Xu, Xin Gao, and Ying Cai "robust feature matching for slant sar image registration based on differentially constrained ransac", Proc. SPIE 11069, Tenth International Conference on Graphics and Image Processing (ICGIP 2018), 110690V (6 May 2019); https://doi.org/10.1117/12.2524232

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