A review of fusion methods of multi-spectral image

As an important branch of data fusion taken images as the research objects, image fusion perform multiple images to get a more accurate image using redundant information and complementary information. Multi-spectral image is a kind of remote sensing image, and fusion of multi-spectral image combine image features of multi-spectral image together to get a more comprehensive and clear image using the spatiotemporal correlation and information on complementary. Consequently, fusion of multi-spectral image, which is a hot issue, is an important way of information processing of remote sensing image. Fusion methods of multi-spectral image is an important issue of fusion of multi-spectral image of remote sensing image, and effective selection of an appropriate fusion method of multi-spectral image is especially significant for improving image accuracy. Along with the development of remote sensing technique, traditional fusion methods of image are difficult to meet the requirement of image accuracy. Recently, fusion methods of multi-spectral image attract increasing attention and become a new hot topic. In this paper, characteristics of different fusion methods of multi-spectral image as well as the research prospect are analyzed. This paper provides a scientific reference for the development of fusion technique of multi-spectral image. (C) 2015 Elsevier GmbH. All rights reserved.