一种基于NSCT和SIFT的遥感图像配准算法  

Remote sensing image registration algorithm based on SIFT and NSCT

作　　者：梁栋[1,2] 颜普[1,2] 朱明[1,2] 胡根生[1,2] 

机构地区：[1]安徽大学电子信息工程学院,合肥230039 [2]安徽大学计算智能与信号处理教育部重点实验室,合肥230039

出　　处：《仪器仪表学报》2011年第5期1083-1088,共6页Chinese Journal of Scientific Instrument

基　　金：国家自然科学基金(No.60772121);国家自然科学基金(No.11071002);安徽大学211工程学术创新团队资助项目

摘　　要：研究提出了一种基于NSCT和SIFT的遥感图像配准算法,综合利用了NSCT在图像分解上的灵活性和SIFT算法在特征描述上的有效性来进行遥感图像配准。首先分别对参考图像和待配准图像用NSCT进行分解,然后把分解的低频图像作为SIFT算法的输入并得到匹配结果,并利用匹配结果求解模型参数,最后通过重采样和双线性插值完成两幅遥感图像的配准。实验结果表明,此算法在运算速度和匹配精度方面均比SIFT算法和SWT+SIFT算法优越。A remote sensing image registration algorithm based on SIFT and NSCT is proposed in this paper.It combines the flexibility of NSCT for image decomposition with the effectiveness of SIFT algorithm for feature representation to register remote sensing images.Firstly,two related images are decomposed with NSCT.Secondly,the decomposed low frequency images are inputted to SIFT algorithm to obtain matching results.Finally,the optimal parameters of transformation model are estimated based on the matching results;and re-sampling and bilinear interpolation are employed to complete the registration of the two related images.Experimental results demonstrate that the proposed algorithm has better effectiveness and higher matching accuracy than the other two algorithms.

关 键 词：图像配准 遥感图像 NSCT SIFT算法 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]