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。
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 Xuzhou were proposed.
出处
《湖北农业科学》
北大核心
2009年第1期202-205,共4页
Hubei Agricultural Sciences
基金
江苏省教育厅高校自然科学基金项目"城市绿地景观信息3S技术提取及监测研究"(06KJD420181)
关键词
城市绿地
TM影像
相关系数
SVM
urban green space
TM image
pertinent coefficient
SVM
