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Road extraction of remote sensing image based on LSSVM and majority voting algorithm
Author(s): 
Pages: 152-156
Year: Issue:  7
Journal: Video Engineering

Keyword:  HIS transformregion segmentationLSSVMmajority voting algorith;
Abstract: Because of the complexity of road information in the high resolution remote sensing image and the similarity of the spectral information of other features,the road feature extraction method based on the pixel road extraction method is inadequate.To solve this problem,the HIS transform is performed on the original image to extract spectral saturation (Saturation,S) components.To realize road segmentation,we use the optimal segmentation algorithm which based on region adjacency graph (Region Adjacency,Graph,RAG) to realize road segmentation,and then extract road information by the method which based on least squares support vector machine (LSSVM) and majority voting principle.Experimental results show that the method can effectively extract the road information in remote sensing image.
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