• DocumentCode
    3067453
  • Title

    A kernel version of multivariate alteration detection

  • Author

    Nielsen, Allan Aasbjerg ; Vestergaard, Jacob Schack

  • Author_Institution
    DTU Space - Nat. Space Inst., Tech. Univ. of Denmark, Lyngby, Denmark
  • fYear
    2013
  • fDate
    21-26 July 2013
  • Firstpage
    3451
  • Lastpage
    3454
  • Abstract
    Based on the established methods kernel canonical correlation analysis and multivariate alteration detection we introduce a kernel version of multivariate alteration detection. A case study with SPOT HRV data shows that the kMAD variates focus on extreme change observations.
  • Keywords
    multivariable systems; operating system kernels; SPOT HRV data; kMAD; kernel canonical correlation analysis; kernel version; multivariate alteration detection; Correlation; Eigenvalues and eigenfunctions; Equations; Heart rate variability; Kernel; Remote sensing; Training;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
  • Conference_Location
    Melbourne, VIC
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4799-1114-1
  • Type

    conf

  • DOI
    10.1109/IGARSS.2013.6723571
  • Filename
    6723571
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3067453