TY - JOUR
T1 - A two-dimensional empirical mode decomposition method with application for fusing panchromatic and multispectral satellite images
AU - Shi, Wen Zhong
AU - Tian, Yan
AU - Huang, Ying
AU - Mao, Haixia
AU - Liu, Kimfung
PY - 2009/1/1
Y1 - 2009/1/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=70449365794&partnerID=8YFLogxK
U2 - 10.1080/01431160802555770
DO - 10.1080/01431160802555770
M3 - Journal article
SN - 0143-1161
VL - 30
SP - 2637
EP - 2652
JO - International Journal of Remote Sensing
JF - International Journal of Remote Sensing
IS - 10
ER -