We investigate a method of segmentation of multichannel polarimetric images, such as in laser illuminated or synthetic aperture radar, into a given but arbitrary number of regions via curve evolution and level sets. The algorithm consists of evolving closed curve, within an explicit correspondence between the interiors of curves and regions segmentation, to minimize a multivariate criterion corresponding to the complex Gaussian polarimetric model and a term of smoothness of the boundaries of regions. Results are shown on a polarimetric image.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Level set curve evolution partitioning of polarimetric images


    Beteiligte:
    Ayed, I.B. (Autor:in) / Mitiche, A. (Autor:in) / Belhadj, Z. (Autor:in)


    Erscheinungsdatum :

    01.01.2005


    Format / Umfang :

    540408 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Level Set Curve Evolution Partitioning of Polarimetric Images

    Ayed, I. B. / Mitiche, A. / Belhadj, Z. | British Library Conference Proceedings | 2005


    Phase Calibration Of Polarimetric Radar Images

    Freeman, Anthony / Sheen, Dan R. / Kasischke, Erik S. | NTRS | 1992


    SPRI: simulator of polarimetric radar images

    De Roo, R.D. / Munn, J. / Pierce, L.E. et al. | IEEE | 2002


    PAPERS - SPRI: Simulator of Polarimetric Radar Images

    Roo, R.D.De | Online Contents | 2002


    Classification Of Terrain In Polarimetric SAR Images

    Van Zyl, Jakob J. / Kong, Jin A. / Shin, Robert T. et al. | NTRS | 1993