Automatic anchor-free convolutional neural network method for recognizing small-scale lunar impact craters

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Automatic anchor-free convolutional neural network method for recognizing small-scale lunar impact craters
- role：First author第一作者
- Affiliation：
  School of Earth Resources, China University of Geosciences, Wuhan 430074, China
  College of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao 266590, China
  Space Optoelectronic Measurement and Perception Lab., Beijing Institute of Control Engineering, Beijing 100190, China
- Email：17686101523@163.com
- Introduction：张梓璇，研究方向为月表环形构造提取与分析。E-mail： 17686101523@163.com
ZHANG Zixuan
123 * ,
- role：Corresponding author通信作者
- Affiliation：
  College of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao 266590, China
  Space Optoelectronic Measurement and Perception Lab., Beijing Institute of Control Engineering, Beijing 100190, China
- Email：jtyang@sdust.edu.cn
- Introduction：杨俊涛，研究方向为激光雷达技术与应用、农业遥感、月球与行星遥感。E-mail： jtyang@sdust.edu.cn
YANG Juntao
23 * ,
- Affiliation：
  Space Optoelectronic Measurement and Perception Lab., Beijing Institute of Control Engineering, Beijing 100190, China
LI Lin
3 * ,
- Affiliation：
  College of Earth Sciences and Engineering, Shandong University of Science and Technology, Qingdao 266590, China
ZHANG Shuowei
4 * ,
- Affiliation：
  College of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao 266590, China
YANG Ziyi
2 * ,
- Affiliation：
  Space Optoelectronic Measurement and Perception Lab., Beijing Institute of Control Engineering, Beijing 100190, China
MA Yuechao
3 *
Vol. 29, Issue 2, Pages: 429-441(2025)
DOI：10.11834/jrs.20243206
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