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Proceedings Paper

Spatial fusion algorithm of multispectral and high-resolution panchromatic images
Author(s): Luping Xu; Jing Yao
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Paper Abstract

Image merging based on wavelet transformation requires a large computation complexity and may cause a severe lost of the spectral information of the multispectral image. A new spatial image fusion algorithm based on fuzzy theory is proposed in this paper. Through calculating the neighborhood homogeneous measurement (NHM) with the fuzzy entropy, the structure information of the high-resolution panchromatic image was obtained. Two thresholds were defined for different rules of fusion. Therefore, different fusion operations were taken accordingly. Experimental results demonstrate that the proposed algorithm enhances spatial detail information of the merged image greatly and has a better ability to preserve spectral information of the original multispectral image, compared with a wavelet image merging algorithm.

Paper Details

Date Published: 11 January 2007
PDF: 6 pages
Proc. SPIE 6279, 27th International Congress on High-Speed Photography and Photonics, 627933 (11 January 2007); doi: 10.1117/12.725326
Show Author Affiliations
Luping Xu, Xidian Univ. (China)
Jing Yao, Xidian Univ. (China)

Published in SPIE Proceedings Vol. 6279:
27th International Congress on High-Speed Photography and Photonics
Xun Hou; Wei Zhao; Baoli Yao, Editor(s)

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