A Method of Mismatching Points Elimination of Non-collinear Multiple CCDs Remote Sensing Images Based on Clustering Algorithm

HUANG Li; YOU Hongjian

doi:10.11999/JEIT170043

Volume 39 Issue 10

Oct. 2017

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HUANG Li, YOU Hongjian. A Method of Mismatching Points Elimination of Non-collinear Multiple CCDs Remote Sensing Images Based on Clustering Algorithm[J]. Journal of Electronics & Information Technology, 2017, 39(10): 2382-2389. doi: 10.11999/JEIT170043

Citation:

HUANG Li, YOU Hongjian. A Method of Mismatching Points Elimination of Non-collinear Multiple CCDs Remote Sensing Images Based on Clustering Algorithm[J]. Journal of Electronics & Information Technology, 2017, 39(10): 2382-2389. doi: 10.11999/JEIT170043

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A Method of Mismatching Points Elimination of Non-collinear Multiple CCDs Remote Sensing Images Based on Clustering Algorithm

doi: 10.11999/JEIT170043 cstr: 32379.14.JEIT170043

HUANG Li¹,
YOU Hongjian¹

Funds:

The National Nature Science Foundation of China (41001214)

Received Date: 2017-01-12
Rev Recd Date: 2017-05-11
Publish Date: 2017-10-19

Abstract

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.
- Remote sensing images,
- Non-collinear,
- Charge-Coupled Device (CCD),
- Mismatching points,
- Clustering

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References(24)

References

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