An efficient registration and fusion algorithm for large misalignment remote sensing images - art no 67901X

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	An efficient registration and fusion algorithm for large misalignment remote sensing images - art no 67901X
	Li, Lingling ; Li, Cuihua ; Zeng, Xiaoming ; Li, Bao ; Wang, Y ; Li, J ; Lei, B ; Yang, J ; Ceng XM(曾晓明)
刊名	http://dx.doi.org/10.1117/12.749414
	2007
关键词	PERFORMANCE SCALE
英文摘要	In this paper, an efficient technique to perform automatic registration and fusion for large misalignment remote sensing images is proposed. It complements SIFT features with Harris-affine features, and uses the ratio of the first and second nearest neighbor distance to setup the initial correspondences, then uses the affine invariant of Mahalanobis distance to remove the mismatched feature points. From this correspondence of the points, the affine matrix between two different images can be determined. All points in the sensed image are mapped to the reference using the estimated transformation matrix and the corresponding gray levels are assigned by re-sampling the image in the sensed image. Finally, we develop Burt's match and saliency metric and use neighborhood space frequency to fuse the registrated reference and sensed remote sensing images in NSCT domain. Experiments on remote sensing images with large misalignment demonstrate the superb performance of the algorithm.
语种	英语
内容类型	期刊论文
源URL	[http://dspace.xmu.edu.cn/handle/2288/66379]
专题	数学科学－已发表论文
推荐引用方式 GB/T 7714	Li, Lingling,Li, Cuihua,Zeng, Xiaoming,et al. An efficient registration and fusion algorithm for large misalignment remote sensing images - art no 67901X[J]. http://dx.doi.org/10.1117/12.749414,2007.
APA	Li, Lingling.,Li, Cuihua.,Zeng, Xiaoming.,Li, Bao.,Wang, Y.,...&曾晓明.(2007).An efficient registration and fusion algorithm for large misalignment remote sensing images - art no 67901X.http://dx.doi.org/10.1117/12.749414.
MLA	Li, Lingling,et al."An efficient registration and fusion algorithm for large misalignment remote sensing images - art no 67901X".http://dx.doi.org/10.1117/12.749414 (2007).