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Physic based aggregation model for the unmixing of temperature and optical properties in the infrared domain

  • Manuel Cubero-Castan
  • , Xavier Briottet
  • , Michal Shimoni
  • , Véronique Achard
  • , Jocelyn Chanussot
    • Office National d'Etudes et de Recherches Aerospatiales
    • GIPSA-Lab

    Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

    3 Zitate (Scopus)

    Abstract

    The new generation of airborne hyperspectral image sensors sensitive in the thermal infrared domain gives the opportunity for new urban applications like classification, thermal budget at building level, etc. Nevertheless, due to the high spatial variability of such landscape, the signal acquired by each pixel remains complex as it results of the contribution of several radiative signals coming from different materials. The understanding of such signal requires the developement of an aggregation model that modelize the optical properties and surface temperature aggregating at different spatial scales. This paper proposes to justify the unicity of the aggregation model, proposed by Fontanilles et al, on LWIR spectral range (8 - 14 μm) for small temperature variations (≤ 20K).

    OriginalspracheEnglisch
    Titel2012 4th Workshop on Hyperspectral Image and Signal Processing, WHISPERS 2012
    Herausgeber (Verlag)Institute of Electrical and Electronics Engineers Inc.
    ISBN (Print)9781479934065
    DOIs
    PublikationsstatusVeröffentlicht - 2012
    Veranstaltung2012 4th Workshop on Hyperspectral Image and Signal Processing, WHISPERS 2012 - Shanghai, China
    Dauer: 4 Juni 20127 Juni 2012

    Publikationsreihe

    NameWorkshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing
    ISSN (Print)2158-6276

    Konferenz

    Konferenz2012 4th Workshop on Hyperspectral Image and Signal Processing, WHISPERS 2012
    Land/GebietChina
    OrtShanghai
    Zeitraum4/06/127/06/12

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