SARBuD1.0： A SAR building dataset based on GF-3 FSII imageries for built-up area extraction with deep learning method

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SARBuD1.0： A SAR building dataset based on GF-3 FSII imageries for built-up area extraction with deep learning method
- role：First author第一作者
- Affiliation：
  Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
- Email：wufan@aircas.ac.cn
- Introduction：吴樊，研究方向为SAR图像处理与信息提取方法。E-mail： wufan@aircas.ac.cn
WU Fan
1 * ,
- role：Corresponding author通信作者
- Affiliation：
  Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
- Email：zhanghong200307@aircas.ac.cn
- Introduction：张红，研究方向为SAR图像处理、极化、干涉处理理论与应用。E-mail： zhanghong200307@aircas.ac.cn
ZHANG Hong
1 * ,
- Affiliation：
  Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
WANG Chao
1 * ,
- Affiliation：
  Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
  University of Chinese Academy of Sciences, Beijing 100049, China
LI Lu
12 * ,
- Affiliation：
  Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
  University of Chinese Academy of Sciences, Beijing 100049, China
LI Juanjuan
12 * ,
- Affiliation：
  China Center for Resource Satellite Data and Applications, Beijing 100094, China
CHEN Weirong
3 * ,
- Affiliation：
  Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
ZHANG Bo
1 *
Vol. 26, Issue 4, Pages: 620-631(2022)
DOI：10.11834/jrs.20220296
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