• Chinese Journal of Lasers
  • Vol. 39, Issue s1, 109005 (2012)
Yang Lixin*, Yang Jiankun, Jia Hui, Qi Junli, and Huang Hongxi
Author Affiliations
  • [in Chinese]
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    DOI: 10.3788/cjl201239.s109005 Cite this Article Set citation alerts
    Yang Lixin, Yang Jiankun, Jia Hui, Qi Junli, Huang Hongxi. Remote Sensing Images Fusion Algorithm Based on the Nonsubsampled Contourlet Transform[J]. Chinese Journal of Lasers, 2012, 39(s1): 109005 Copy Citation Text show less

    Abstract

    In order to make the fused multispectral (MS) image keep the spectrum information of the original multispectral image as much as possible and improve the spatial resolution effectively, a novel image fusion algorithm based on the nonsubsampled contourlet transform (NSCT) and the multiresolution edge detection is proposed. The advantages of NSCT and multiresolution edge detection are presented; The fusion rules of the high and low frequency subbands respectively based on multiresolution edge detection and direct substitution are devised; The QuickBird images have been fused with this new method. The simulation experimental results demonstrate that the method proposed could keep the spectral information and improve spatial resolution simultaneously, and work better than traditional wavelet and contourlet transform.
    Yang Lixin, Yang Jiankun, Jia Hui, Qi Junli, Huang Hongxi. Remote Sensing Images Fusion Algorithm Based on the Nonsubsampled Contourlet Transform[J]. Chinese Journal of Lasers, 2012, 39(s1): 109005
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