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The comparability of aggregated emissivity and temperature of heterogeneous pixel to conventional tes methods

  • Manuel Cubero-Castan
  • , Xavier Briottet
  • , Veronique Achard
  • , Michal Shimoni
  • , 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

    2 Citations (Scopus)

    Résumé

    Unmixing in the reflective domain is a well known technique to retrieve materials and their abundances from hyperspectral imaging scene. However, for the thermal domain (8-14 μm) only few unmixing models were developed due to the complexity of retrieving three unknowns (i.e. materials abundance, temperature and emissivity) from the pixel radiance. Attempt to solve this complexity is using aggregation models. The aggregation models are physics based models which estimate the pixel radiance with the contribution of acquisition parameters and scene description including the temperature and the emissivity of materials. This paper focuses on the comparison of temperature / emissivity estimated using inhouse aggregation model with two conventional Temperature and Emissivity Separation (TES) methods: Maximum Minimum Differences (MMD/TES) and SPectral SMoothness method (SpSm). This comparison is achieved using synthetic mixed pixels of two sensors AHS-160 and SEBASS. The results show that below a temperature difference of 30 K, the aggregation models are in good adequacy with the TES estimations.

    langue originaleAnglais
    titre2013 5th Workshop on Hyperspectral Image and Signal Processing
    Sous-titreEvolution in Remote Sensing, WHISPERS 2013
    EditeurInstitute of Electrical and Electronics Engineers Inc.
    ISBN (Electronique)9781509011193
    Les DOIs
    étatPublié - 28 juin 2013
    Evénement5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2013 - Gainesville, États-Unis
    Durée: 26 juin 201328 juin 2013

    Série de publications

    NomWorkshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing
    Volume2013-June
    ISSN (imprimé)2158-6276

    Une conférence

    Une conférence5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2013
    Pays/TerritoireÉtats-Unis
    La villeGainesville
    période26/06/1328/06/13

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