欢迎您！东篱公司
退出
-
申报数据库
-
立项数据库
-
成果数据库
-
项目获奖数据库
中文摘要：
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。
英文摘要：
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.
同期刊论文项目
同项目期刊论文
A Unified Approach to Maximizing the Spectral Radii of the Complements of Graphs with Small Dimensio
期刊信息
位置：