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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    Title :

    Edge detection in multispectral remote sensing images


    Contributors:
    Sirin, T. (author) / Saglam, M.I. (author) / Erer, I. (author) / Gokmen, M. (author) / Ersoy, O. (author)


    Publication date :

    2005-01-01


    Size :

    775246 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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