A two-dimensional empirical mode decomposition method with application for fusing panchromatic and multispectral satellite images

Wen Zhong Shi, Yan Tian, Ying Huang, Haixia Mao, Kimfung Liu

Research output: Journal article publicationJournal articleAcademic researchpeer-review

10 Citations (Scopus)

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 multi-spectral 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.
Original languageEnglish
Pages (from-to)2637-2652
Number of pages16
JournalInternational Journal of Remote Sensing
Volume30
Issue number10
DOIs
Publication statusPublished - 1 Jan 2009

ASJC Scopus subject areas

  • Earth and Planetary Sciences(all)

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