计算机与数字工程2024,Vol.52Issue(4) :995-998,1032.DOI:10.3969/j.issn.1672-9722.2024.04.007

基于路网提取的公路规模估算方法研究

Research on Road Scale Estimation Method Based on Road Network Extraction

刘柳杨 马骁 张晓征 刘明霞 杨宇翔 杨璇
计算机与数字工程2024,Vol.52Issue(4) :995-998,1032.DOI:10.3969/j.issn.1672-9722.2024.04.007
✕

基于路网提取的公路规模估算方法研究

Research on Road Scale Estimation Method Based on Road Network Extraction

刘柳杨 1马骁 1张晓征 1刘明霞 2杨宇翔 3杨璇4
扫码查看

作者信息

  • 1. 交通运输部科学研究院数字交通实验室 北京 100029
  • 2. 交科院科技集团有限公司 北京 100013
  • 3. 河南交通发展研究院有限公司 郑州 450006
  • 4. 中咨数据有限公司空间信息应用与防灾减灾技术交通运输行业研发中心 北京 100097
  • 折叠

摘要

为了对所辖农村地区耕地区域公路需求规模进行估算,研究了一种基于高分遥感影像道路提取矢量路网的农村耕地区域公路网规模估算方法.综合考虑公路网密度及自然村分布情况,设计了路网估算密度系数、自然村密度系数,以所在地形环境作为分类,充分考虑了农村耕地区域公路建设的实际需求并量化计算.实验表明,与交通运输主管部门实际需求相比,该方法的估算准确率可达到实际需求的92.61%.该方法能够在国土系数法、连通度法等传统方法之外提供一种以遥感影像为基础数据的农村耕地区域公路规模测算方法,弥补了传统方法无法充分利用新一代信息技术数据的不足,是传统方法的有效补充.该方法的设计在适用性的角度上合理.

Abstract

In order to estimate the roads demand in cultivated land in rural areas,a method is proposed for estimating the road scale in rural cultivated land based on the vector road network extracted from high resolution remote sensing image.Comprehensive-ly considering the distribution of road network and villages,the estimated density coefficient of the road network and the density co-efficient of villages are designed,and the geographical environment is used as the classification in order to fully consider actual de-mand for road construction in rural cultivated areas which are quantitatively calculated.Experiments show that,compared with the actual demand of the transportation authority,the estimation accuracy of this method can reach 92.61%of the actual demand.This research can provide a method for measuring the road scale in rural cultivated land based on remote sensing image which is in addi-tion to traditional methods such as the land coefficient method and the connectivity method as an effective supplement to traditional methods.The design of this method is reasonable in terms of applicability.

关键词

路网规模/遥感影像/估算/路网提取/农村公路

Key words

road scale/remote sensing image/estimating/road network extraction/rural road

引用本文复制引用

出版年

2024
计算机与数字工程
中国船舶重工集团公司第七0九研究所

计算机与数字工程

CSTPCD
影响因子:0.355
ISSN:1672-9722
参考文献量7
段落导航相关论文