• DocumentCode
    2335060
  • Title

    Remote Sensing and Image Fusion Methods: A Comparison

  • Author

    Ranchin, Thierry

  • Author_Institution
    Center for Energy & Processes, Ecole des Mines de Paris, Valbonne
  • Volume
    5
  • fYear
    2006
  • fDate
    14-19 May 2006
  • Abstract
    By fusing two sets of images A and B, one with a high spatial resolution, the other with a low spatial resolution and different spectral bands, the ARSIS (from its French name: "amelioration de la resolution spatiale par injection de structures". It is usually translated by improvement of the spatial resolution by structures\´ injection) concept permits to synthesize the dataset B at the resolution of A with high quality. It tries to establish a relationship between the high frequencies in the multispectral set B and the set A and models it. The general problem for the synthesis is presented. General properties of the fused product are given. Then, the ARSIS concept is discussed. The general scheme for the implementation of a method belonging to this concept is presented. Three inter-band structure models (IBSM) are described. They are applied to Ikonos image as an illustration case. The fused products are assessed by means of a known protocol comprising a series of qualitative and quantitative parameters. Results and future tracks are discussed
  • Keywords
    geophysical signal processing; image resolution; remote sensing; ARSIS; Ikonos image; image fusion methods; remote sensing; spatial resolution; Frequency; High-resolution imaging; Hyperspectral imaging; Hyperspectral sensors; Image fusion; Image resolution; Pixel; Protocols; Remote sensing; Spatial resolution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on
  • Conference_Location
    Toulouse
  • ISSN
    1520-6149
  • Print_ISBN
    1-4244-0469-X
  • Type

    conf

  • DOI
    10.1109/ICASSP.2006.1661493
  • Filename
    1661493