Convolutional self-attention network for automated rock detection in complex martian terrain

Models and Methods | Views:567Downloads:1740CSCD:0

Export
Share
Collection
Album

Convolutional self-attention network for automated rock detection in complex martian terrain
- role：First author第一作者
- Affiliation：
  College of Automation, Beijing Information Science and Technology University, Beijing 100192, China
  State Key Laboratory of Remote Sensing and Digital Earth, Aerospace Information Researc Institute, Chinese Academy of Sciences, Beijing 100101, China
- Email：2023020486@bistu.edu.cn
- Introduction：曹学欢，研究方向为行星制图与遥感。E-mail： 2023020486@bistu.edu.cn
CAO Xuehuan
12 * ,
- role：Corresponding author通信作者
- Affiliation：
  State Key Laboratory of Remote Sensing and Digital Earth, Aerospace Information Researc Institute, Chinese Academy of Sciences, Beijing 100101, China
- Email：pengman@aircas.ac.cn
- Introduction：彭嫚，研究方向为行星制图与遥感。E-mail： pengman@aircas.ac.cn
PENG Man
2 * ,
- Affiliation：
  State Key Laboratory of Remote Sensing and Digital Earth, Aerospace Information Researc Institute, Chinese Academy of Sciences, Beijing 100101, China
WAN Wenhui
2 * ,
- Affiliation：
  State Key Laboratory of Remote Sensing and Digital Earth, Aerospace Information Researc Institute, Chinese Academy of Sciences, Beijing 100101, China
  University of Chinese Academy of Sciences, Beijing 100049, China
WANG Biao
23 * ,
- Affiliation：
  State Key Laboratory of Remote Sensing and Digital Earth, Aerospace Information Researc Institute, Chinese Academy of Sciences, Beijing 100101, China
WANG Yexin
2 * ,
- Affiliation：
  State Key Laboratory of Remote Sensing and Digital Earth, Aerospace Information Researc Institute, Chinese Academy of Sciences, Beijing 100101, China
DI Kaichang
2 * ,
- Affiliation：
  College of Automation, Beijing Information Science and Technology University, Beijing 100192, China
LI Lu
1 *
Vol. 29, Issue 10, Pages: 3020-3033(2025)
DOI：10.11834/jrs.20255015
Accepted：

Scan QR Code

Scan QR Code

Quote
Translate The Full Text
DOI：
DOI：

Convolutional self-attention network for automated rock detection in complex martian terrain

AI Introduction
Full Text(HTML)
Figs( 6 ) Tabs( 4 )
References
Publication Info
Metrics

Alert me when the article has been cited

Submit

Related Articles

Pansharpening of remote sensing images based on global-aware convolution and transformer

Distillation method for remote sensing image semantic segmentation via frequency-domain filtering

Spectral-spatial synergetic for fine-grained extraction of typical targets in SAR images

Spatiotemporal response of aquatic vegetation in typical lakes of the Taihu Basin to “Purse Seine Demolition of Lakes and Reservoirs” from a remote‑sensing perspective

Empirical study on the spatial-temporal distribution and formation factors of water surface sun glint in Sentinel-2 MSI imagery

Related Author

WAN Wenhui 中国科学院空天信息创新研究院遥感科学国家重点实验室

WANG Biao 中国科学院空天信息创新研究院遥感科学国家重点实验室;中国科学院大学

WANG Yexin 中国科学院空天信息创新研究院遥感科学国家重点实验室

DI Kaichang 中国科学院空天信息创新研究院遥感科学国家重点实验室

LI Lu 北京信息科技大学自动化学院, ,邮编

CAO Xuehuan 北京信息科技大学自动化学院, ,邮编;中国科学院空天信息创新研究院遥感科学国家重点实验室

PENG Man 中国科学院空天信息创新研究院遥感科学国家重点实验室

YU Zhijie 中国地质大学(武汉) 未来技术学院

Related Institution

College of Automation, Beijing Information Science and Technology University

State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences

School of Future Technology, China University of Geosciences

School of Computer Science, China University of Geosciences

School of Automation, China University of Geosciences