引用本文: 行瑞星, 武芳, 张浩, 巩现勇. 基于正对投影距离的双线道路提取方法[J]. 武汉大学学报 ( 信息科学版), 2018, 43(1): 152-158.
XING Ruixing, WU Fang, ZHANG Hao, GONG Xianyong. Dual-carriageway Road Extraction Based on Facing Project Distance[J]. Geomatics and Information Science of Wuhan University, 2018, 43(1): 152-158.
 Citation: XING Ruixing, WU Fang, ZHANG Hao, GONG Xianyong. Dual-carriageway Road Extraction Based on Facing Project Distance[J]. Geomatics and Information Science of Wuhan University, 2018, 43(1): 152-158.

## Dual-carriageway Road Extraction Based on Facing Project Distance

• 摘要: 大比例尺地图中双线道路的识别与提取是路网综合的重要组成部分。针对双线道路识别问题，根据双线道路的结构特点，结合国内外研究提出了一种可用于提取双线道路的距离度量方法——正对投影距离。首先通过缓冲区分析构建可能构成双线道路的候选线对集，然后利用正对投影距离构造约束参数从线对候选集中精确识别出双线道路线对。通过与其他距离度量方法的对比试验，表明正对投影距离能较准确表达双线道路线对的空间邻近性，可以准确识别出双线道路，符合人类空间认知特点。

Abstract: Recognition and extraction of a dual-carriageway road is a key task in road network generalization for large scale maps. Based on the analysis of dual-carriageway road recognition, this paper presents a new distance metric algorithm, facing project distance, which can measure line-line distance. A dual-carriageway road candidate set is extracted through buffering, dual-carriageway roads can be recognized accurately using constraint parameters characterised by the facing project distance. A comparison of the performance of this algorithm and existing distance metric algorithms, show that facing project distance accurately reflects the spatial proximity of a pair of lines exptessing dual-carriageway roads, the proposed algorithm can correctly recognize the dual-carriageway roads.

/

• 分享
• 用微信扫码二维码

分享至好友和朋友圈