基于遥感影像的城市绿地覆盖信息提取方法  

Extraction Methods of Urban Green Space Coverage based on Remote Sensing Image

作　　者：程素娜[1] 张永彬[1] 汪金花[1] 

机构地区：[1]河北联合大学矿业工程学院,河北唐山063000

出　　处：《天津农业科学》2015年第1期48-51,共4页Tianjin Agricultural Sciences

基　　金：河北省教育厅科学研究项目(ZD20131040)

摘　　要：随着城市化的高速发展及环境变化,城市绿地的空间分布及其生态效益和使用功能受到高度重视。实现城市生态绿地的规划和建设,需要快速、高效、高精度地提取城市绿地覆盖信息。综述了近10年城市绿地覆盖信息遥感提取的测算方法,比较和分析了常用的5种遥感提取模型的特点,并对未来的研究发展趋势进行展望。It is highly valued of urban green space＇s distribution and ecological benefit and the use function with the rapid development of urbanization. For realizing the urban ecological green space planning and construction, urban green space information needs to be extracted with a rapid, efficient, and high precision way. This paper summarized the measuring and calculating methods of urban green space coverage with remote sensing, compared and analyzed the advantages and characteristics of main methods and models of remote sensing in the last ten years. The future research trends were prospected.

关 键 词：遥感 城市绿地 决策树 

分 类 号：P283.8[天文地球—地图制图学与地理信息工程]