Eyed tropical cyclone intensity objective estimation model based on infrared satellite image and relevance vector machine

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Eyed tropical cyclone intensity objective estimation model based on infrared satellite image and relevance vector machine
“2021年6月7日浙江师范大学数理与信息工程学院的戴李杰、张长江团队在《遥感学报》发文，介绍了其在热带气旋强度预报领域的研究进展，该团队基于静止红外卫星云图和相关向量机RVM构建了有眼TC客观定强模型，为提高热带气旋强度预报的准确性提供了新的解决方案。”
- role：First author第一作者
- Affiliation：
  College of Mathematics, Physics and Information Engineering, Zhejiang Normal University, Jinhua 321004, China
- Email：dlj16823@163.com
- Introduction：戴李杰，1990年生，男，硕士研究生，研究方向为图像处理及应用、机器学习与模式识别。E-mail： dlj16823@163.com
Lijie DAI
1 * ,
- role：Corresponding author通信作者
- Affiliation：
  College of Mathematics, Physics and Information Engineering, Zhejiang Normal University, Jinhua 321004, China
- Email：zcj74922@zjnu.edu.cn
- Introduction：张长江，1974年生，男，教授，研究方向为图像处理、机器学习、多尺度几何分析与应用。E-mail： zcj74922@zjnu.edu.cn
Changjiang ZHANG
1 * ,
- Affiliation：
  College of Mathematics, Physics and Information Engineering, Zhejiang Normal University, Jinhua 321004, China
Licheng XUE
1 * ,
- Affiliation：
  Shanghai Central Meteorological Observatory, Shanghai Meteorological Bureau, Shanghai 200030, China
Leiming MA
2 * ,
- Affiliation：
  Shanghai Typhoon Institute of China Meteorological Administration, Shanghai 200030, China
Xiaoqin LU
3 *
Vol. 22, Issue 4, Pages: 581-590(2018)
Accepted：26 January 2018 ，
DOI：10.11834/jrs.20187234
Accepted：

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