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| A Method of Mismatching Points Elimination of Non-collinear Multiple CCDs Remote Sensing Images Based on Clustering Algorithm |
| HUANG Li YOU Hongjian |
(Key Laboratory of Technology in Geo-spatial Information Processing and Application System, Chinese Academy of Sciences, Beijing 100190, China)
(Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China)
(University of Chinese Academy of Sciences, Beijing 100049, China) |
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Abstract Considering the distribution characteristic of the matching points of non-collinear multiple Charge- Coupled Device (CCD) remote sensing images, a new method based on clustering to eliminate the mismatching points is proposed. First, the multi-dimensionality feature vector of matching points is obtained on the basis of the disparity curve in along-track direction. Second, all points are clustered to one cluster. Finally, the points are marked off according to the variation trend of the semi-diameter of the cluster. The experiment results running on the panchromatic image of mapping satellite 1-02 show that the method has better performance on eliminating the mismatched points and keeping the matched points.
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Received: 12 January 2017
Published: 27 June 2017
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| Fund:The National Nature Science Foundation of China (41001214) |
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Corresponding Authors:
HUANG Li
E-mail: huangli60@163.com
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