Abstract
An efficient method to extract urban road based on the side trees from a high resolution remote sensing image is proposed. First, the high resolution remote sensing image was preprocessed so as to improve the extraction accuracy and reduce the difficulty of later treatment. Second, according to the reflective property of side trees and urban road, it is necessary to detect the side trees region by HIS color conversion of the high resolution remote sensing image, and the HIS color conversion was implemented to the remote sensing image. Third, the binary image was obtained based on image subtraction between HIS image and processed image. Fourth, some small broken plaques are removed by the noise-reduction processing and the feature of area. Fifth, in order to optimize the whole and thinning road image, the operation of expansion and open of mathematical morphology were implemented by VC 6.0 ++ program. The results show that the new urban road extraction method based on side trees is very simple, practicable and effective.
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