• DocumentCode
    2713352
  • Title

    Analysis and evaluation on fusion methods of medium and high spatial resolution remote sensing image

  • Author

    Ding, Yuhong ; Wang, Yanhui

  • Author_Institution
    Key Lab. of 3 D Inf. Collection & Applic., Capital Normal Univ., Beijing, China
  • fYear
    2011
  • fDate
    24-26 June 2011
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The remote sensing image fusion technique has been developed quickly and applied, which is an important remote sensing research topic. How to choose the right fusion method is one of the challenges that the field face. PCA, Brovey, IHS and Multiplicative are used to fuse QuickBird and SPOT5 low-resolution multispectral and high-resolution panchromatic images. The fused images are analysed and evaluated by subjective qualitative analysis and objective quantification. Analysis indicates that IHS and Multiplicative are better in keeping color, and Multiplicative is suited for environmental study of city and suburb. PCA is more detailedly portrayed the image than Brovey fusion method and the image is clearer by PCA. Brovey is suitable for separating objects, especially the greenbelt. This experiment provides a practical reference value to the related research that how to select the appropriate remote sensing image fusion method in the future.
  • Keywords
    geographic information systems; image colour analysis; image fusion; image resolution; principal component analysis; remote sensing; Brovey fusion method; IHS; PCA; QuickBird; SPOT5 low resolution multispectral image; greenbelt; high-resolution panchromatic image; multiplicative method; objective quantification; remote sensing image fusion technique; subjective qualitative analysis; Cities and towns; Fuses; Image color analysis; Image fusion; Image resolution; Principal component analysis; Remote sensing; Evaluation; Fusion Method; QuickBird; Remote Sensing Image; SPOT5;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoinformatics, 2011 19th International Conference on
  • Conference_Location
    Shanghai
  • ISSN
    2161-024X
  • Print_ISBN
    978-1-61284-849-5
  • Type

    conf

  • DOI
    10.1109/GeoInformatics.2011.5981113
  • Filename
    5981113