• DocumentCode
    3615331
  • Title

    A Bayesian approach to sensor characterization

  • Author

    D.A. Timucin

  • Author_Institution
    NASA Ames Res. Center, Moffett Field, CA, USA
  • Volume
    6
  • fYear
    2003
  • fDate
    6/25/1905 12:00:00 AM
  • Firstpage
    3775
  • Abstract
    The physical model of a generic electro-optic sensor is derived and incorporated into a Bayesian framework for the estimation of key instrument parameters from calibration data. The sensor characterization thus achieved enables optimal subsequent removal of instrument effects from field data, leading to the highest possible accuracy in the retrieved physical quantities.
  • Keywords
    "Bayesian methods","Sensor phenomena and characterization","Calibration","Instruments","Data analysis","Electrooptic devices","NASA","Postal services","Information retrieval","Signal processing"
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2003. IGARSS ´03. Proceedings. 2003 IEEE International
  • Print_ISBN
    0-7803-7929-2
  • Type

    conf

  • DOI
    10.1109/IGARSS.2003.1295266
  • Filename
    1295266
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3615331