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基于行道树的道路快速提取和面积计算研究
引用本文:李成范,周廷刚,刘岚.基于行道树的道路快速提取和面积计算研究[J].地理信息世界,2008,6(6).
作者姓名:李成范  周廷刚  刘岚
作者单位:1. 西南大学地理科学学院,重庆,400715;三峡库区生态环境教育部重点实验室,重庆,400715
2. 西南大学外国语学院,重庆,400715
基金项目:重庆市自然科学基金资助项日  
摘    要:在城市遥感中,道路自动(半自动)提取一直是研究的霞点.本文在现有道路自动(半自动)提取技术的基础上,结合高分辨率遥感影像中行道树的分布特点,从地学知识出发,利用归一化筹值植被指数、阀值分割、数学形态学算子及地理信息系统的分析功能等实现基于行道树的道路自动(半自动)提取和道路面积快速、自动计算.结论表明基于行道树的道路提取和面积计算方法具有一定的实用性.

关 键 词:高分辨率遥感影像  道路提取  地理信息系统  面积计算

Study on Rapid Road Extraction and Area Algorithms Based on Street Trees
LI Cheng-fan,ZHOU Ting-gang,LIU Lan.Study on Rapid Road Extraction and Area Algorithms Based on Street Trees[J].Geomatics World,2008,6(6).
Authors:LI Cheng-fan  ZHOU Ting-gang  LIU Lan
Institution:LI Cheng-fan1,2,ZHOU Ting-gang1,LIU Lan3 (1. Key Laboratory of Eco-environments in Three Gorges Reservoir Region of Ministry of Education,School of Geographical Science,Southwest China University,Chongqing 400715,China,2. School of Foreign Languages,China)
Abstract:The road automatic (semi-automatic) extraction is a focal studied point of the city remote sensing. Based on the current road automatic (semi-automatic) extraction technique and combining the distinct street trees in the high-resolution remotely sensed image, this paper utilizes some methods in geonomy to implement the road automatic (semi-automatic) extraction and the rapid, automatic algorithms of the road size based on the street trees, including NDVI, thresholding segmentation, the relevant operators of...
Keywords:high-resolution remotely sensed image  road extraction  GIS  area algorithms  
本文献已被 CNKI 维普 万方数据 等数据库收录!
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