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- W2357303550 abstract "Focusing on the automatic image registration problem of SAR and optical images,a new algorithm based on SIFT is presented in this paper.Firstly,the detection of SIFT dominant direction is optimized,in which the gradient directions of local maxima edge points are used as the directions of key point.Secondly,the normalized cross-correlated algorithm is used in the features matching.Thirdly,the RANSAC algorithm is applied to remove false matching points.Finally,according to the correct matching points,the images are registered automatically.In the experiments,the adaptability of the algorithm is analyzed for the images of different resolutions and different rotating angles.The experiment results show that the proposed method is better than SIFT and Harris algorithms in the correct matching probability and features matching precision,and also presents the applicability." @default.
- W2357303550 created "2016-06-24" @default.
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- W2357303550 date "2010-01-01" @default.
- W2357303550 modified "2023-09-25" @default.
- W2357303550 title "Registration Algorithm for SAR and Optical Images Based on Improved SIFT" @default.
- W2357303550 hasPublicationYear "2010" @default.
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