JISP  >> Vol. 5 No. 1 (January 2016)

    Fast Registration of Remote Sensing Image Based on Corner Feature

  • 全文下载: PDF(877KB) HTML   XML   PP.43-51   DOI: 10.12677/JISP.2016.51006  
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钱社军,王正勇,何小海:四川大学电子信息学院,四川 成都

遥感图像快速配准AGASTFREAK相似三角形最小二乘法Remote Sensing Image Fast Registration AGAST FREAK Similar Triangles The Least Square Method



In this paper, because the traditional registration algorithms for remote sensing image are slower and don’t meet the requirements of real-time problem, a new method is proposed based on the combination of improved AGAST and FREAK for fast remote sensing images registration. Firstly, the improved AGAST is used to detect the feature points between reference image and image that is to be registered; Secondly, FREAK algorithm is used to obtain a binary string descriptor, and hamming distance between features vector is computed by using a cascade match to get matching feature points; Finally, wrong match pairs are eliminated by using the improved similar triangle method, and the optimal spatial geometric transform parameters are estimated using the least square method to accomplish the two images registration. Experimental results show that the pro- posed method improves the registration rate compared to the traditional registration methods, and ensures accuracy at the same time.

钱社军, 王正勇, 何小海. 基于角点特征的遥感图像快速配准[J]. 图像与信号处理, 2016, 5(1): 43-51. http://dx.doi.org/10.12677/JISP.2016.51006


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