Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/25917
Title: An ikonos image fusion process using support value transform
Authors: Zheng, S
Shi, W 
Liu, J
Keywords: Ikonos image fusion
Mapped least squares support vector machine (mapped LS-SVM)
Support value transform (SVT)
Issue Date: 2007
Source: Proceedings of the Sixth International Conference on Machine Learning and Cybernetics, ICMLC 2007, 2007, v. 3, 4370398, p. 1584-1589 How to cite?
Abstract: Panehromatic (Pan)-sharpening of muttispectral (MS) bands is an important technique in various applications of satellite remote sensing. In this paper, we apply the support value transform (SVT) to lkonos image fusion. The fused saliency features are represented by support values and extracted by SVT. The low-resolution MS bands are resampled to the fine scale of the Pan image and sharpened by injecting the detailed features extracted from the high-resolution Pan image. The fusing results on Ikonos MS + Pan data demonstrate that the proposed image fusion method is effective and efficient.
Description: 6th International Conference on Machine Learning and Cybernetics, ICMLC 2007, Hong Kong, 19-22 August 2007
URI: http://hdl.handle.net/10397/25917
ISBN: 142440973X
9781424409730
DOI: 10.1109/ICMLC.2007.4370398
Appears in Collections:Conference Paper

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