上海交通大学学报（英文版） ›› 2011, Vol. 16 ›› Issue (6): 722-727.doi: 10.1007/s12204-011-1216-2

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Fusion of Remote Sensing Images Based on   Nonsubsampled Contourlet Transform and Region Segmentation

WU Yi-quan (吴一全),     WU Chao   (吴   超),    WU Shi-hua   (吴诗婳)   

  1. (College of Electronic and Information Engineering,
    Nanjing University of   Aeronautics and Astronautics, Nangjing
    210016, China)
  • 收稿日期:2011-07-08 出版日期:2011-12-30 发布日期:2012-01-12
  • 通讯作者: WU Yi-quan (吴一全) E-mail: nuaaimage@yahoo.com.cn

Fusion of Remote Sensing Images Based on   Nonsubsampled Contourlet Transform and Region Segmentation

WU Yi-quan (吴一全),     WU Chao   (吴   超),    WU Shi-hua   (吴诗婳)   

  1. (College of Electronic and Information Engineering,
    Nanjing University of   Aeronautics and Astronautics, Nangjing
    210016, China)
  • Received:2011-07-08 Online:2011-12-30 Published:2012-01-12
  • Contact: WU Yi-quan (吴一全) E-mail: nuaaimage@yahoo.com.cn

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摘要： 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.
 

关键词: image fusion, multispectral remote sensing image,
panchromatic image, nonsubsampled contourlet transform (NSCT), particle

Abstract: 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.
 

Key words: image fusion, multispectral remote sensing image,
panchromatic image, nonsubsampled contourlet transform (NSCT), particle

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