• DocumentCode
    3062695
  • Title

    Joint IHS and variational methods for pan-sharpening of very high resolution imagery

  • Author

    Ze-ming Zhou ; Ping-lv Yang ; Yuan-xiang Li ; Wen Yin ; Lin Jiang

  • Author_Institution
    Inst. of Meteorol. & Oceanogr., PLA Univ. of Sci. & Technol., Nanjing, China
  • fYear
    2013
  • fDate
    21-26 July 2013
  • Firstpage
    2597
  • Lastpage
    2600
  • Abstract
    A new pan-sharpening approach is proposed for merging the panchromatic image and the multi-spectral image by jointly using IHS and variational method. The substitute image of the intensity component of IHS transform is the optimization solution of the proposed energy functional. The functional consists of three energy terms. The first term extracts the spatial details from the Pan image and injects the details into the MS image. The second term preserves the spectral signature of the MS image by requiring that the low-resolution version of the substitute image should be close to the intensity component. The third term guarantees the smoothness of the optimization solution. The proposed method is validated on the IKONOS and QuickBird dataset. In comparison with the fusion models including extended fast IHS (eFIHS), AWLP and IHS-BT, the prospective fusion results are presented by the proposed model.
  • Keywords
    feature extraction; geophysical image processing; geophysical techniques; image fusion; image resolution; transforms; AWLP; IHS method; IHS transform; IHS-BT; IKONOS dataset; Pan image; QuickBird dataset; eFIHS; energy functional; extended fast IHS; fusion model; image merging; intensity component; multispectral image; optimization solution; pan-sharpening approach; panchromatic image; spatial detail extraction; spectral signature preservation; variational method; very high resolution imagery; Image color analysis; Image fusion; Optimization; Remote sensing; Spatial resolution; Transforms; IHS fusion; gradient descend flow; image fusion; pan-sharpening; variational fusion;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
  • Conference_Location
    Melbourne, VIC
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4799-1114-1
  • Type

    conf

  • DOI
    10.1109/IGARSS.2013.6723354
  • Filename
    6723354