摘要
针对城市大尺度的不透水面提取需求,以高分辨率遥感影像为数据源,基于随机森林模型,对光谱和纹理特征进行重要性分析,选出最优参数,实现高精度城市不透水面提取。选取武汉市作为实验区,以资源3号卫星遥感影像为数据源,不透水面提取的总体精度为0.97,所提取的高精度不透水面可为海绵城市的规划和建设提供有效的专题数据。
In order to obtain impervious surface with high accuracy,this study adopted random forest algorithm to detect impervious surface,and further analyzed importance of spectrum and textures feature with the optimal parameters.The performance of random forest algorithm was investigated by a subset of the ZY-3 images in Wuhan urban areas.The results demonstrate that random forest algorithm is robust,flexible and more accurate impervious surface extraction with an overall accuracy of 0.97.Moreover mapping can be used to government policy makers for Sponge City construction and management,and for analyzing urban water logging,heat island effect and environment and hydrologic cycle.
出处
《地理空间信息》
2016年第7期1-5,共5页
Geospatial Information
基金
中央高校基本科研业务费专项资金资助项目(2042016kf0179
2042016kf1019)
国家测绘地理信息局测绘基金资助项目(测科函 [2015]19 号)
2016 年广州市科技计划资助项目(201604020070)
关键词
不透水面
随机森林
高分辨率遥感
海绵城市
impervious surface
random forest algorithm
high resolution remote sensing
Sponge City
