A Pansharpening Method Based on HCT and Joint Sparse Model

  • XU Ning ,
  • XIAO Xinyao ,
  • YOU Hongjian ,
  • CAO Yingui
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  • 1. Key Laboratory of Technology in Geo-spatial Information Processing and Application System, IECAS, Beijing 100190, China;
    2. Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China;
    3. University of Chinese Academy of Sciences, Beijing 100049, China;
    4. School of Land Science and Technology, China University of Geosciences, Beijing 100083, ChinaAbstract

Received date: 2015-07-14

  Revised date: 2015-12-16

  Online published: 2016-04-28

Supported by

The Geological Survey Program of China Geological Survey(No.1212011120226);The National High-tech Research and Development Program of China(863 Program)(No.2012AA12A308);The Science and Technology Services Network Program of Chinese Academy of Sciences(No.KFJ-EW-STS-046)

Abstract

A novel fusion method based on the hyperspherical color transformation (HCT) and joint sparsity model is proposed for decreasing the spectral distortion of fused image further. In the method, an intensity component and angles of each band of the multispectral image is obtained by HCT firstly, and then the intensity component is fused with the panchromatic image through wavelet transform and joint sparsity model. In the joint sparsity model, the redundant and complement information of the different images can be efficiently extracted and employed to yield the high quality results. Finally, the fused multi spectral image is obtained by inverse transforms of wavelet and HCT on the new lower frequency image and the angle components, respectively. Experimental results on Pleiades-1 and WorldView-2 satellites indicate that the proposed method achieves remarkable results.

Cite this article

XU Ning , XIAO Xinyao , YOU Hongjian , CAO Yingui . A Pansharpening Method Based on HCT and Joint Sparse Model[J]. Acta Geodaetica et Cartographica Sinica, 2016 , 45(4) : 434 -441 . DOI: 10.11947/j.AGCS.2016.20150372

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