• DocumentCode
    1950355
  • Title

    Using SOM to estimate optical inherent properties from remote sensing reflectance

  • Author

    Chazottes, Aymeric ; Crépon, Michel ; Thiria, Sylvie

  • Author_Institution
    LOCEAN/IPSL, Paris
  • fYear
    2007
  • fDate
    12-17 Aug. 2007
  • Firstpage
    2875
  • Lastpage
    2880
  • Abstract
    This article presents a neural network classifier able to retrieve the optical properties of four ocean constituents from remote sensing reflectance. When comparing this model to some standard algorithms, we found that the neural network gives the best performances.
  • Keywords
    geophysics computing; pattern classification; remote sensing; self-organising feature maps; SOM; neural network classifier; ocean constituent; remote sensing reflectance; Absorption; Atmospheric modeling; Neural networks; Oceans; Optical scattering; Optical sensors; Reflectivity; Remote sensing; Spatial databases; Water;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 2007. IJCNN 2007. International Joint Conference on
  • Conference_Location
    Orlando, FL
  • ISSN
    1098-7576
  • Print_ISBN
    978-1-4244-1379-9
  • Electronic_ISBN
    1098-7576
  • Type

    conf

  • DOI
    10.1109/IJCNN.2007.4371416
  • Filename
    4371416
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1950355