Semantic segmentation of remote sensing image based on deep fusion networks and conditional random field

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Semantic segmentation of remote sensing image based on deep fusion networks and conditional random field
- role：First author第一作者
- Affiliation：
  Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China
  University of Chinese Academy of Sciences, Beijing 100049, China
- Email：xiaocj@radi.ac.cn
- Introduction：肖春姣，1994年生,女,硕士研究生, 研究方向为遥感图像处理、深度学习。E-mail: xiaocj@radi.ac.cn
XIAO Chunjiao
12 * ,
- role：Corresponding author通信作者
- Affiliation：
  Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China
- Email：liyu@radi.ac.cn
- Introduction：李宇，1986年生，女，助理研究员，研究方向为遥感图像处理。E-mail：liyu@radi.ac.cn
LI Yu
1 * ,
- Affiliation：
  Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China
ZHANG Hongqun
1 * ,
- Affiliation：
  Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China
CHEN Jun
1 *
Vol. 24, Issue 3, Pages: 254-264(2020)
DOI：10.11834/jrs.20208298
Accepted：

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