Research on the method of image matching based on semi-variance function

Yuanli Xie; Lewen Wu; Wenjuan Wang; Wei Shen

doi:10.1117/12.873153

3 November 2010 Research on the method of image matching based on semi-variance function

Yuanli Xie, Lewen Wu, Wenjuan Wang, Wei Shen

Proceedings Volume 7841, Sixth International Symposium on Digital Earth: Data Processing and Applications; 784106 (2010) https://doi.org/10.1117/12.873153
Event: The Sixth International Symposium on Digital Earth, 2009, Beijing, China

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.

Citation Download Citation

Yuanli Xie, Lewen Wu, Wenjuan Wang, and Wei Shen "Research on the method of image matching based on semi-variance function", Proc. SPIE 7841, Sixth International Symposium on Digital Earth: Data Processing and Applications, 784106 (3 November 2010); https://doi.org/10.1117/12.873153

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