In this paper, we discuss edge detection by first using a clustering algorithm followed by a known edge detection filter such as Canny or generalized edge detector (GED). We developed a new clustering method called Self-Organizing Global Ranking (SOGR). Comparative results with multispectral satellite images including SOGR, SOM and K Means clustering methods are discussed. The results show that the two-stage algorithms are better than single stage edge detector algorithms.


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    Titel :

    Edge detection in multispectral remote sensing images


    Beteiligte:
    Sirin, T. (Autor:in) / Saglam, M.I. (Autor:in) / Erer, I. (Autor:in) / Gokmen, M. (Autor:in) / Ersoy, O. (Autor:in)


    Erscheinungsdatum :

    2005-01-01


    Format / Umfang :

    775246 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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