• DocumentCode
    1923372
  • Title

    Improved change detection with local co-registration adjustments

  • Author

    Wohlberg, Brendt ; Theiler, James

  • Author_Institution
    Los Alamos Nat. Lab., Los Alamos, NM, USA
  • fYear
    2009
  • fDate
    26-28 Aug. 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    We introduce a simple approach to compensate for the effects of residual misregistration on the performance of anomalous change detection algorithms. Using real data, both within a simulation framework for anomalous changes, and with a real anomalous change, we illustrate the approach and investigate its effectiveness.
  • Keywords
    image registration; anomalous change detection; hyperspectral imagery; local coregistration adjustment; multispectral imagery; residual misregistration; Change detection algorithms; Detection algorithms; Detectors; Eigenvalues and eigenfunctions; Hyperspectral sensors; Image analysis; Laboratories; Machine learning algorithms; Multispectral imaging; Pixel; Anomalous change detection; Hyperspectral imagery; Multispectral imagery; Registration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2009. WHISPERS '09. First Workshop on
  • Conference_Location
    Grenoble
  • Print_ISBN
    978-1-4244-4686-5
  • Electronic_ISBN
    978-1-4244-4687-2
  • Type

    conf

  • DOI
    10.1109/WHISPERS.2009.5289041
  • Filename
    5289041
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1923372