Deep learning-based building height mapping using Sentinel-1 and Sentienl-2 data

International Journal of Applied Earth Observation and Geoinformation(2023)

引用 0|浏览10
暂无评分
摘要
•Building height samples were generated from Sentinel 1/2 and publicly available data.•A dual-branch structure building height estimation network was proposed.•A novel module was designed to facilitate optical and SAR features fusion.•The spatially continuous building height mappings with 10-m resolution were produced.•Our method offers new possibilities for fine resolution building height mapping of China.
更多
查看译文
关键词
Building height,Sentinel,Deep learning,Urban agglomeration,Data fusion
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要