基于高分二号的城市绿地提取方法研究

Study on City Green Space Extraction Method Based on GF-2 Satellite Images

绿地对城市生态系统具有重要的调节作用。利用遥感技术来辅助绿地信息的提取,能够获取绿地空间结构,动态掌握绿地覆盖面积,从而达到调控和监测城市绿地变化的目的。本文分别采用最小距离分类和面向对象的最邻近分类2种方法进行城市绿地提取,实验结果表明,利用高分二号这种空间分辨率较高的遥感影像进行绿地信息提取,面向对象的分类方法要比传统的最小距离分类方法更为适合。

Green space plays an important role in regulating urban ecosystem.With the help of remote sensing technology,the spatial structure of green space can be acquired and the coverage area of green space can be grasped dynamically,so as to control and monitor the change of urban green space.In this paper,minimum distance classification and object-oriented nearest neighbor classification are used to extract urban green space respectively,the object-oriented classification method is more suitable than the traditional minimum distance classification method for the extraction of green space information from high spatial resolution remote sensing images.