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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

    Résultats de recherche: Chapitre dans un livre, un rapport, des actes de conférencesContribution à une conférenceRevue par des pairs

    3 Citations (Scopus)

    Résumé

    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).

    langue originaleAnglais
    titre2012 4th Workshop on Hyperspectral Image and Signal Processing, WHISPERS 2012
    EditeurInstitute of Electrical and Electronics Engineers Inc.
    ISBN (imprimé)9781479934065
    Les DOIs
    étatPublié - 2012
    Evénement2012 4th Workshop on Hyperspectral Image and Signal Processing, WHISPERS 2012 - Shanghai, Chine
    Durée: 4 juin 20127 juin 2012

    Série de publications

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

    Une conférence

    Une conférence2012 4th Workshop on Hyperspectral Image and Signal Processing, WHISPERS 2012
    Pays/TerritoireChine
    La villeShanghai
    période4/06/127/06/12

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