Crop type classification of remote sensing image time series based on multi-scale spatial-temporal global attention model

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Crop type classification of remote sensing image time series based on multi-scale spatial-temporal global attention model
“In the field of agricultural resource investigation, experts have proposed the multi-scale spatiotemporal global attention model MSSTGAM, which effectively improves the accuracy of crop classification in remote sensing image time series.”
- role：First author第一作者
- Affiliation：
  Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing100094, China
  University of Chinese Academy of Sciences, School of Electronic, Electrical and Communication Engineering, Beijing100049, China
- Email：zhangweixiong@aircas.ac.cn
- Introduction：张伟雄，研究方向为遥感影像时间序列分类。E-mail：zhangweixiong@aircas.ac.cn
ZHANG Weixiong
12 * ,
- Affiliation：
  Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing100094, China
TANG Ping
1 * ,
- Affiliation：
  Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing100094, China
MENG Yu
1 * ,
- Affiliation：
  Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing100094, China
ZHAO Lijun
1 * ,
- Affiliation：
  Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing100094, China
  University of Chinese Academy of Sciences, School of Electronic, Electrical and Communication Engineering, Beijing100049, China
ZHAO Zhitao
12 * ,
- role：Corresponding author通信作者
- Affiliation：
  Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing100094, China
- Email：zhangzheng@aircas.ac.cn
- Introduction：张正，研究方向为遥感图像处理及遥感时间序列分析。E-mail：zhangzheng@aircas.ac.cn
ZHANG Zheng
1 *
Vol. 28, Issue 11, Pages: 2865-2877(2024)
DOI：10.11834/jrs.20243557
Accepted：

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