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Proceedings Paper

Research on the method of image matching based on semi-variance function
Author(s): Yuanli Xie; Lewen Wu; Wenjuan Wang; Wei Shen
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Paper Abstract

With the purpose of analyzing the technique of image matching based on self-correlation, the semi-variance function from geo-statistics was introduced into the image matching of this paper, which develops a method of image matching with semi-variance function as the basis, studies the matching cell of semi-variance function image matching, constructs the semi-variance function image matching similarity measure. In addition, several image matching algorithms by semivariance function were designed and realized. By experiments of comparing with the correlation coefficient matching algorithm, it has been shown that the semi-variance function matching algorithm not only can maintain a good matching accuracy, but also greatly enhance the matching efficiency; all of these evidences reveal that the matching method based on semi-variance function is feasible one. The experiments also show that the neighboring matching algorithm is of the best effect among several matching strategies.

Paper Details

Date Published: 4 November 2010
PDF: 8 pages
Proc. SPIE 7841, Sixth International Symposium on Digital Earth: Data Processing and Applications, 784106 (4 November 2010); doi: 10.1117/12.873153
Show Author Affiliations
Yuanli Xie, Northwest Univ. (China)
Lewen Wu, Northwest Univ. (China)
Wenjuan Wang, Northwest Univ. (China)
Wei Shen, Northwest Univ. (China)


Published in SPIE Proceedings Vol. 7841:
Sixth International Symposium on Digital Earth: Data Processing and Applications
Huadong Guo; Changlin Wang, Editor(s)

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