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- W1899202215 abstract "This paper presents an approach to road extraction from remote sensing images. The proposed algorithm consists of three steps. In the first step, fuzzy C-means(FCM) clustering method roughly classifies the pixels in input image to several classes. A probabilistic support vector machine(SVM) is, then, applied to classify each pixel into road or non-road class. In the final step, Markov random field(MRF) regularization is used to refine the classification results attained in the second step. Experimental results with real images are presented and compared with those obtained from several road extraction techniques. Experimental results show that the proposed algorithm outperforms several methods we compare with in terms of rank distance and quality percentage." @default.
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- W1899202215 date "2010-11-01" @default.
- W1899202215 modified "2023-09-24" @default.
- W1899202215 title "Experiments on Road Extraction from Remote Sensing Images using SVM combined with FCM and MRF" @default.
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