The purpose of remote sensing images fusion is to produce a
fused image that contains more clear, accurate and comprehensive information
than any single image. A novel fusion method is proposed in this paper based
on nonsubsampled contourlet transform (NSCT) and region segmentation.
Firstly, the multispectral image is transformed to intensity-hue-saturation (IHS) system. Secondly, the panchromatic image and the component intensity of the multispectral image are
decomposed by NSCT. Then the NSCT coefficients of high and low frequency
subbands are fused by different rules, respectively. For the high frequency
subbands, the fusion rules are also unalike in the smooth and edge regions.
The two regions are segregated in the panchromatic image, and the
segmentation is based on particle swarm optimization. Finally, the fusion
image can be obtained by performing inverse NSCT and inverse IHS transform.
The experimental results are evaluated by both subjective and objective
criteria. It is shown that the proposed method can obtain superior results
to others.
WU Yi-quan (吴一全), WU Chao (吴 超), WU Shi-hua (吴诗婳)
. Fusion of Remote Sensing Images Based on Nonsubsampled Contourlet Transform and Region Segmentation[J]. Journal of Shanghai Jiaotong University(Science), 2011
, 16(6)
: 722
-727
.
DOI: 10.1007/s12204-011-1216-2
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