Because the choice of the reasonable and effective threshold of segmentation is rather difficult, the method based on threshold segmentation is not applicable to extracting road information from remote sensing images in that there are obviously multiple types of road and non-road feature interference. To tackle this problem, the authors propose in this paper a method which combines Mean Shift algorithm with threshold segmentation to extract road information. Firstly, the Mean Shift is used to smooth the image, then the texture distribution is made more uniform in the road and the edge of the road is kept. Secondly, the Mean Shift segmentation is used to segment the image, and group the roads which have the same or similar gray values into one gray value showing. Thirdly, as different kinds of color information of the road have different showing characteristics in the gray-level histogram, the gray value which has relatively more numbers of picture elements is taken as the segment range boundary point to obtain the original road information by using multi-threshold segmentation. Finally, post-processing of the original road information is made to obtain the road. The experiment results indicate that this method can extract the road information from the remote sensing imagery and broaden the scope of the use of the threshold segmentation to extract the road information.
李华胜, 黄平平, 苏莹. 一种提取遥感影像中道路信息的方法[J]. 国土资源遥感, 2015, 27(2): 56-62.
LI Huasheng, HUANG Pingping, SU Ying. A method for road extraction from remote sensing imagery. REMOTE SENSING FOR LAND & RESOURCES, 2015, 27(2): 56-62.
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2015, Vol. 27 
