高分影像城市绿地信息提取及分类方法的研究

Study on Extraction and Classification of Urban Green Space Information Based on GF-1

遥感手段进行城市绿地信息提取已经成为目前城市规划的主流手段。但由于所提取的绿地信息种类繁多,如何对绿地信息进一步的分类成为了一个新难题。为此,采用面向对象的分类方法,通过对遥感影像进行特征分析,建立了一定的规则,成功的对唐山市绿地信息进行了提取、分类,对进行城市绿地规划具有一定的借鉴价值。

Remote sensing means to extract urban green space information has become the mainstream means of urban planning.However,due to the variety of green space information extracted,how to further classify green space information has become a new problem.To this end,using object-oriented classification method,through the feature analysis of remote sensing image,a certain rule is established,and the green land information of Tangshan City is successfully extracted and classified,which has certain reference value for urban green space planning.