• DocumentCode
    411182
  • Title

    Classification by mathematical morphology

  • Author

    Pina, Pedro ; Barata, Teresa

  • Author_Institution
    Geo-Syst. Centre, Inst. Superior Tecnico, Lisbon, Portugal
  • Volume
    6
  • fYear
    2003
  • fDate
    21-25 July 2003
  • Firstpage
    3516
  • Abstract
    A general methodology that explores the geometric characteristics presented by the training sets of each class (size, shape and orientation) in feature space, without making explicitly any statistical hypothesis, is presented in this paper. The respective decision region borders are constructed automatically and provide higher classification rates.
  • Keywords
    geophysical signal processing; image classification; image segmentation; mathematical morphology; statistical analysis; classification rates; feature space; geometric modelling; geometric properties; image segmentation; mathematical morphology; statistical hypothesis; weighted influence zones; Costs; Geometry; Image segmentation; Morphology; Pixel; Remote sensing; Satellites; Shape; Solid modeling; Vegetation mapping;
  • fLanguage
    English
  • 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.2003.1294839
  • Filename
    1294839
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=411182