计算机科学
直线(几何图形)
航程(航空)
像素
聚类分析
能量(信号处理)
线段
线条宽度
功能(生物学)
星团(航天器)
平行
遥感
人工智能
计算机视觉
地理
光学
物理
工程类
数学
生物
航空航天工程
进化生物学
量子力学
程序设计语言
几何学
作者
Zhichao Xia,Yu Zang,Jonathan Li
标识
DOI:10.1109/igarss.2017.8127098
摘要
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.
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