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.
Edge detection in multispectral remote sensing images
2005-01-01
775246 byte
Conference paper
Electronic Resource
English
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