Fuzzy Clustering Algorithms on Landsat Images for Detection of Waste Areas: a Comparison
نویسندگان
چکیده
Landsat data can be used to support a wide range of applications for monitoring the conditions of a selected land surface. For example, they can be used to map changes due to the effects of pollution and environmental degradation over different periods of time. In this paper we will present a comparison of fuzzy clustering algorithms for the segmentation of multi-temporal Landsat images. A relabeling stage is performed after the classification in such a way clusters of different segmentations, but corresponding to the same lithological area, are led to a homogeneous color-map.
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