Topographic correction effect on classification accuracy for deep neural network classifier—A case study of the U-Net model

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Topographic correction effect on classification accuracy for deep neural network classifier—A case study of the U-Net model
- role：First author第一作者
- Affiliation：
  Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
  University of Chinese Academy of Sciences, School of Electronic, Electrical and Communication Engineering, Beijing 100049, China
- Email：jiali_199311@163.cm
- Introduction：贾莉，研究方向为遥感图像处理、地表覆盖分类。E-mail：jiali_199311@163.cm
JIA Li
12 * ,
- Affiliation：
  Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
ZHENG Ke
1 * ,
- Affiliation：
  Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
TANG Ping
1 * ,
- role：Corresponding author通信作者
- Affiliation：
  Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
- Email：huolz@radi.ac.cn
- Introduction：霍连志，研究方向为遥感图像处理、遥感图像分类技术。E-mail： huolz@radi.ac.cn
HUO Lianzhi
1 *
Vol. 26, Issue 4, Pages: 698-710(2022)
DOI：10.11834/jrs.20229322
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