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基于TM影像的城市绿地信息提取
引用本文:曹晓晨,景海涛,王登山,赵明富.基于TM影像的城市绿地信息提取[J].湖北农业科学,2009,48(1).
作者姓名:曹晓晨  景海涛  王登山  赵明富
作者单位:1. 徐州师范大学测绘学院,江苏徐州,221116
2. 山东胶州市规划局,山东胶州,266300
基金项目:江苏省教育厅高校自然科学基金 
摘    要:城市绿地作为城市生态系统中的一个子系统,在城市的环境问题日益恶化的今天发挥着越来越重要的作用.本研究以江苏省徐州市为例,运用TM遥感数据为数据源.通过计算相关系数选取3种最优波段进行组合,运用SVM分类法,提取城市绿地信息.结果表明.该方法对研究区域绿地信息的提取取得了较好的效果.最后提出研究区域的绿地规划建议.

关 键 词:城市绿地  TM影像  相关系数

Extraction Information of Urban Green Space Based on TM Image
CAO Xiao-chen,JING Hai-tao,Wang Deng-shan,ZHAO Ming-fu.Extraction Information of Urban Green Space Based on TM Image[J].Hubei Agricultural Sciences,2009,48(1).
Authors:CAO Xiao-chen  JING Hai-tao  Wang Deng-shan  ZHAO Ming-fu
Institution:1.School of Geodesy and Geomatics;Xuzhou Normal University;Xuzhou 221116;Jiangsu;China;2.Jiaozhou Planning bureau;Jiaozhou 266300;Shandong;China
Abstract:Urban green space,as the sub-system of city ecosystem,played more and more important roles as the city environment is deteriorating.The urban green space information in Xuzhou was studied by adopting TM Remote Sensing data as the data sources,combining 3 optimum bands according to their pertinent coefficients and applying SVM classification method in this paper.The results demonstrated that this method could gain regional green space information efficiently.Finally,the programming plans for green space in X...
Keywords:SVM
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