Urban green space information extraction and effective detection are the powerful guarantee of city planning development and ecological environmental monitoring .This paper established urban green space information extraction technology process by comprehensive utilization of spectral ,texture and spatial morphology in remote sensing image .In terms of calculated normalized vegetation index ,first-order entropy ,and rectangular index ,the study took Tangshan City ecology district in a resolution remote sensing image as the research object . Extracting the four types of urban green space ,and making a better classification effect based on the rules of the object-oriented information extraction method ,this method can provide a practical and effective way of study for the extraction of urban green space information .%城市绿地信息提取和有效监测是城市规划发展和生态环境监测的有力保障.从城市规划角度出发 ,综合利用遥感影像的光谱、纹理和空间形态特征 ,建立了城市绿地信息提取的技术流程.并以唐山市生态园中心区的中分辨率遥感影像为研究对象 ,进行了植被归一化指数、一阶熵、矩形化指数的运算 ,采用基于规则的面向对象的信息提取方法提取了4种城市绿地类型 ,得到了较好的分类效果 ,为城市绿地信息提取提供了一种切实有效的研究方法.
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