• DocumentCode
    2926350
  • Title

    Using watersheds segmentation on ISAR image for automatic target recognition

  • Author

    Toumi, Abdelmalek ; Hoeltzener, Brigitte ; Khenchaf, Ali

  • Author_Institution
    ENSIETA, Brest
  • Volume
    1
  • fYear
    2007
  • fDate
    28-31 Oct. 2007
  • Firstpage
    285
  • Lastpage
    290
  • Abstract
    This paper deals with the processing adopted for shape extraction from the ID-presentation (image) in radar automatic target recognition field. The goal is to provide helpful information to human operator for target recognition. However, extracting the target characteristics from a radar echoes is the rather difficult task. Hence, several kinds of radar signatures can be employed to acquire information about target [10, 11]. In this paper, we present one approach for retrieval system for target recognition bused on ISAR-images in radar experimentation field. Then, we propose efficient features that deals with target shape which are extracted using Watersheds transformation. Of course, the target shape gives a better human interpretation.
  • Keywords
    feature extraction; image representation; image retrieval; image segmentation; radar imaging; synthetic aperture radar; ID presentation; ISAR image; Watersheds segmentation; image retrieval system; radar automatic target recognition; shape extraction; Bandwidth; Data mining; Frequency; Humans; Image segmentation; Marine vehicles; Military aircraft; Radar imaging; Shape; Target recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital Information Management, 2007. ICDIM '07. 2nd International Conference on
  • Conference_Location
    Lyon
  • Print_ISBN
    978-1-4244-1475-8
  • Electronic_ISBN
    978-1-4244-1476-5
  • Type

    conf

  • DOI
    10.1109/ICDIM.2007.4444237
  • Filename
    4444237