Earticle

초록

영어

This paper presents a novel remote sensing image fusion algorithm, which implements the intensity-hue-saturation (IHS) transform on panchromatic sharpening of multispectral data and the dual-tree compactly supported shearlet transform (DT CSST) during fusion. Shearlet transforms can provide almost optimal representation of the anisotropic features of an image. The spatial domain discrete implementation, the compactly supported shearlet transform (CSST), which represents the directions by dilation operations, are selected in the proposed fusion method. Since most of the prominent features of images, such as edges and regions, have limited sizes in the spatial domain, CSST is very suitable for image fusion. However, the conventional CSST is shift-variant, which causes distortions in fused images. With the embedded dual-tree (DT) sturcture in the CSST, the shift-variant properties can be effectively reduced. Combining the IHS transform and the DT CSST, an effective panchromatic and multispectral image fusion method is proposed in this paper. The experiments’ results suggest that the proposed method extract more spatial information from panchromatic images with less lost in spectral consistency compared to other fusion methods which are based on discrete wavelet transform (DWT), à trous wavelet transform, à trous shearlet transform, the dual-tree complex wave transform ( DT CWT), or the Curvelet transform.

목차

Abstract
 1. Introduction
 2. Shearlet Transform
 3. Dual-tree Compactly Supported Shearlet Transform
 4. Proposed Method and Measurements
  4.1 General Image Fusions
  4.2 IHS Transform
  4.3 IHS Combined with GIF based on DT CSST
  4.4 Performance Measurements
 5. Experiments and Analysis
 6. Conclusion
 Acknowledgements
 References

키워드

저자

• Chang Duan [ School of Electronic Engineering, University of Electronic Science Technology of China, Research Institute of Electronic Science and Technology, University of Electronic Science Technology of China ]
• Qihong Huang [ Electronic Engineering College, Chengdu University of Information Technology ]
• Xuegang Wang [ School of Electronic Engineering, University of Electronic Science Technology of China ]
• Shuai Wang [ School of Electronic Engineering, University of Electronic Science Technology of China ]
• Hong Wang [ School of Electronic Engineering, University of Electronic Science Technology of China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Signal Processing, Image Processing and Pattern Recognition

• 간기

  격월간

• pISSN

  2005-4254

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605