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-  2018 

基于多源高分辨率遥感影像的2 m不透水面一张图提取
Mapping Impervious Surface with 2 m Using Multi-source High Resolution Remote Sensing Images

DOI: 10.13203/j.whugis20180196

Keywords: 地表覆盖产品,不透水面提取模型,深度学习,高分辨率遥感影像,
land cover datasets
,impervious surface extraction model,deep learning,high spatial resolution imagery

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Abstract:

不透水率是衡量城市生态环境状况的一个重要指标。当前全球范围内仅有1 km和30 m分辨率尺度的不透水面专题信息,无法满足城市尺度水文模型建模、海绵城市规划和建设需求。提出了图谱信息融合的不透水面提取模型,实现了基于深度学习的不透水面提取新方法,研制了不透水面遥感全流程提取和监测软件。基于多源高分辨率遥感影像首次完成了中国31个省(直辖市、自治区)的2 m不透水面专题信息提取,形成全国不透水面一张图,为海绵城市和生态城市的建设提供了基础数据支撑和技术监测手段

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