• DocumentCode
    2684008
  • Title

    Spatial enhancement of hyperion hyperspectral data through ALI panchromatic image

  • Author

    Capobianco, Luca ; Garzelli, Andrea ; Nencini, Filippo ; Alparone, Luciano ; Baronti, Stefano

  • Author_Institution
    Univ. of Siena, Siena
  • fYear
    2007
  • fDate
    23-28 July 2007
  • Firstpage
    5158
  • Lastpage
    5161
  • Abstract
    This paper presents two novel image fusion methods, suitable for sharpening of hyperspectral (HS) images by means of a panchromatic (Pan) observation: the HS bands expanded to the finer scale of the Pan image are sharpened by adding the spatial details which are calculated by the PAN image. Since a direct, unconditioned injection of Pan details gives unsatisfactory results, a new injection model is proposed, which provides the optimum injection simulating fusion at degraded scale by minimizing the mean square error. Fusion tests are carried out both on spatially degraded data to objectively compare the proposed scheme to some fusion methods and on full resolution image data.
  • Keywords
    image enhancement; image fusion; terrain mapping; ALI panchromatic image; hyperion hyperspectral data; image fusion methods; injection simulating fusion; panchromatic observation; spatial enhancement; Data mining; Degradation; Hyperspectral imaging; Hyperspectral sensors; Image resolution; Mean square error methods; Multispectral imaging; Spatial resolution; Strontium; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2007. IGARSS 2007. IEEE International
  • Conference_Location
    Barcelona
  • Print_ISBN
    978-1-4244-1211-2
  • Electronic_ISBN
    978-1-4244-1212-9
  • Type

    conf

  • DOI
    10.1109/IGARSS.2007.4424023
  • Filename
    4424023