A two-dimensional empirical mode decomposition method with application for fusing panchromatic and multispectral satellite images
Abstract:Remote sensing technologies are one of the major research topics in fusing multisource data and generating high-quality satellite images. In this paper, a new two-dimensional empirical mode decomposition (EMD) method is presented and used to fuse high-resolution panchromatic and multispectral images. First, the new two-dimensional EMD technique, which includes determining the ending criterion of the sifting procedure, the method of boundary effect resolving and seeking extrema, is presented. Then, based on the proposed two-dimensional EMD, an image fusion method for high-resolution panchromatic and multispectral images is proposed. Finally, two experiments were conducted to verify the performance of the proposed method. The experimental results demonstrate that the new method is effective and promising in terms of both visual effect and quantitative analysis.
Document Type: Research Article
Affiliations: 1: Advanced Research Centre for Spatial Information Technology, Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hong Kong, China 2: Department of Electronic and Information Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
Publication date: 2009-01-01