Automatic SAR image registration of integrated complementary invariant features
WANG Xiaohua1,2, DENG Kazhong2, YANG Huachao2
1. Henan Polytechnic University, School of Surveying and Land Information Engineering, Jiaozuo 454000, China;
2. China University of Mining and Technology, Jiangsu Key Laboratory of Resources and Environmental Information Engineering, Xuzhou 221116, China
The accurate synthetic aperture Radar (SAR) image registration is the prerequisite for exact analysis of mine deformation. Many image registration algorithms have been proposed, but the results are not satisfactory when these registration algorithms are directly applied to SAR image. In view of such a situation, the authors put forward an integrated registration approach in this paper. The first step of this approach is the coarse matching with Canny edge for region division; then the fine matching is performed by SIFT algorithm with improved Canny edge features; finally, the accurate registration SAR image is obtained. This approach has fewer computations than that simply using SIFT feature matching. Experimental analyses with SAR images demonstrate the efficiency and accuracy of this approach for mine SAR image registration, which provides high-quality image data for comprehensive management in mining areas.
王晓华, 邓喀中, 杨化超. 集成互补不变特征的SAR影像自动配准[J]. 国土资源遥感, 2014, 26(1): 52-56.
WANG Xiaohua, DENG Kazhong, YANG Huachao. Automatic SAR image registration of integrated complementary invariant features. REMOTE SENSING FOR LAND & RESOURCES, 2014, 26(1): 52-56.
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2014, Vol. 26 
