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基于多源高分辨率遥感影像的2 m不透水面一张图提取
引用本文:邵振峰,张源,黄昕,朱秀丽,吴亮,万波.基于多源高分辨率遥感影像的2 m不透水面一张图提取[J].武汉大学学报(信息科学版),2018,43(12):1909-1915.
作者姓名:邵振峰  张源  黄昕  朱秀丽  吴亮  万波
作者单位:1.武汉大学测绘遥感信息工程国家重点实验室, 湖北 武汉, 430079
基金项目:国家重点研发计划战略性国际科技创新合作重点专项2016YFE0202300武汉市晨光计划2016070204010114广州市科技项目201604020070湖北省重点研发计划2016AAA018国家自然科学基金61671332国家自然科学基金41771452国家自然科学基金41771454
摘    要: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。

关 键 词: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
收稿时间:2018-05-18

Mapping Impervious Surface with 2 m Using Multi-source High Resolution Remote Sensing Images
Institution:1.State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China2.School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China3.The National Geomatics Center of China, Beijing 100830, China4.Faculty of Information Engineering, China University of Geosciences(Wuhan), Wuhan 430074, China
Abstract:Impervious rate is an important indicator to evaluate the urban ecological environment. Currently, there is only 1 km and 30 m resolution of impervious surface thematic information in the global scope, which cannot meet the needs of urban scale hydrological modeling, sponge city planning and construction. In this paper, an impervious surface extraction model incorporated spectral and texture information is proposed, and a new method based on deep learning is implemented to estimate imper-vious surface information. In addition the software for extracting and monitoring of impervious surface is also developed. Based on multi-source high spatial resolution imagery, impervious surface map with 2 m spatial resolution in mainland China including 31 provinces (municipalities, autonomous regions) is accomplished, just supports the high resolution data to research and monitor sponge and ecological cities.
Keywords:
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