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文件名称：基于SIFT算法的多源遥感影像匹配方法
文件大小：1.35MB
文件格式：PDF
更新时间：2016-04-12 04:51:56
FIST 匹配 遥感
Abstract—Aim to the difficulty of acquisition of conjugate
points from multi-source remote sensing imagery, a novel
matching method based on SIFT and CRA similarity measure
is proposed. Firstly, the SIFT operator is adopted to extract
feature points and coarse match is performed, the approximate
transformation relationship and the rotation angle between the
matched images are estimated by the above matching results.
Secondly, if there exists large rotation angle between the
matched images, rotation compensation on the image of
matching window should be carried out, and the CRA
similarity measure is used to search the corresponding points.
Finally, the mismatched points in each level of pyramid images
are eliminated by Quadratic polynomial with RANSAC
algorithm. Repeating above procedures until the original
image level, it realizes the automatic and reliable matching of
multi-source remote sensing imagery. The experiment of
matching of multiple SAR imagery and optical remote sensing
imagery is made, and the method is validated.
Keywords: multi-source remote senseing imageryimage
matching; SIFT; CRA; RANSAC