Road width measurement from remote sensing images

In this paper, we propose a novel approach for road width measurement from high resolution satellite or aerial images. The proposed approach has three main steps. First, we extract line segments and road center lines on the given remote sensing images. Second, we could obtain many pairs of parallel lines with width information by computing the positional relationship between each other. Then K-means is performed to cluster these parallel lines into several clusters by the width information of them. Finally, an energy function is introduced to assign the width range of a cluster to each pixel on road center lines, the width range is viewed as the width of the corresponding road segment. Attribute to parallel lines extraction, parallel lines clustering and our energy function, the proposed road width measurement method is able to provide high quality results on road width measurement.