• DocumentCode
    384431
  • Title

    Modeling object classes in aerial images using texture motifs

  • Author

    Bhagavathy, Sitaram ; Newsam, Shawn ; Manjunath, B.S.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., California Univ., Santa Barbara, CA, USA
  • Volume
    2
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    981
  • Abstract
    We propose a canonical model for object classes in aerial images. This model is motivated by the observation that geographic regions of interest are characterized by collections of texture motifs corresponding to the geographic processes that generate them. We show that this model is effective in learning the common texture themes, or motifs, of the object classes.
  • Keywords
    Gaussian distribution; image classification; image retrieval; image texture; object recognition; terrain mapping; aerial images; canonical model; common texture themes; geographic regions of interest; image feature distributions; mixed Gaussian distributions; object class modeling; remotely sensed imagery; texture motifs; Airports; Character generation; Content based retrieval; Gaussian distribution; Gaussian processes; Image analysis; Image retrieval; Image segmentation; Image texture analysis; Information retrieval;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2002. Proceedings. 16th International Conference on
  • ISSN
    1051-4651
  • Print_ISBN
    0-7695-1695-X
  • Type

    conf

  • DOI
    10.1109/ICPR.2002.1048470
  • Filename
    1048470
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=384431