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Multisensor image fusion using influence factor modification and the ANOVA methods

Yiyao, Li and Venkatesh, YV and Ko, Chi Chung (2000) Multisensor image fusion using influence factor modification and the ANOVA methods. In: IEEE Transactions on Geoscience and Remote Sensing, 38 (4). pp. 1976-1988.

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Abstract

A new scheme is proposed for fusing multisensor images in which one image is regarded as the main image and the other the complementary, based on the evaluation of certain characteristics in the images. In effect, the scheme is used to fuse an image pair in which one image is superior to the other for interpretation in terms of higher resolution, better image quality, or having more recognizable features. Feature information is based on local statistical characteristics, which are extracted using the analysis of variance (ANOVA) method [21], in the framework of experimental designs. In effect, feature information from one image is used to influence the corresponding pixel values of the other image. The fused image leads to a better human and/or machine interpretation of the area of interest in the images.

Item Type: Journal Article
Additional Information: ©2000 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Keywords: ANOVA for edge detection;feature-based data fusion;image fusion
Department/Centre: Division of Electrical Sciences > Electrical Engineering
Date Deposited: 25 Aug 2008
Last Modified: 19 Sep 2010 04:15
URI: http://eprints.iisc.ernet.in/id/eprint/1775

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