Chinese Journal of Lasers, Volume. 39, Issue s1, 109005(2012)

Remote Sensing Images Fusion Algorithm Based on the Nonsubsampled Contourlet Transform

Yang Lixin*, Yang Jiankun, Jia Hui, Qi Junli, and Huang Hongxi
Author Affiliations
  • [in Chinese]
  • show less

    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.

    Tools

    Get Citation

    Copy Citation Text

    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

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: holography and information processing

    Received: Jan. 1, 2012

    Accepted: --

    Published Online: Jun. 25, 2012

    The Author Email: Lixin Yang (yangxiaobinglixin@163.com)

    DOI:10.3788/cjl201239.s109005

    Topics