A group object detection framework for remote sensing image object perception

Satellite Information Intelligent Application | Views:1805Downloads:3375CSCD:2

Export
Share
Collection
Album

A group object detection framework for remote sensing image object perception
- role：First author第一作者
- Affiliation：
  School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China
- Email：zhw@bupt.edu.cn
- Introduction：张鸿伟，研究方向为计算机视觉。E-mail： zhw@bupt.edu.cn
ZHANG Hongwei
1 * ,
- Affiliation：
  School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China
JIN Lei
1 * ,
- Affiliation：
  School of Computer Technology and Applications, Qinghai University, Qinghai 810016, China
ZOU Xuechao
2 * ,
- Affiliation：
  Graduate School, University of Aerospace Engineering, Beijing 101416, China
FANG Yuqiang
3 * ,
- Affiliation：
  Beijing Institute of Remote Sensing Information, Beijing 100192, China
YIN Lu
4 * ,
- Affiliation：
  North Institute of Electronic Equipment, Beijing 100071, China
ZHAO Jian
5 * ,
- role：Corresponding author通信作者
- Affiliation：
  School of Computing, Tsinghua University, Beijing 100084, China
- Email：jlxing@tsinghua.edu.cn
- Introduction：兴军亮，研究方向为视觉感知与博弈决策。E-mail： jlxing@tsinghua.edu.cn
XING Junliang
6 *
Vol. 28, Issue 7, Pages: 1802-1811(2024)
DOI：10.11834/jrs.20233263
Accepted：

Scan QR Code

Scan QR Code

Quote
Translate The Full Text
DOI：
DOI：

Full Text(HTML)
Figs( 10 ) Tabs( 5 )
References
Publication Info
Metrics

摘要

Abstract

关键词

Keywords

references

Alert me when the article has been cited

Submit

Related Articles

Dual-branch remote sensing shadow detection with the fusion of Transformer and CNN

ADC-CPANet：A remote sensing image classification method based on local-global feature fusion

Remote sensing image detection method based on brain-inspired spiking neural networks

Few-shot object detection in optical remote sensing images

Remote sensing inversion of forest aboveground carbon storage based on GAC feature selection and AST regression algorithm

Related Author

Zhang Hongwei 北京邮电大学

Jin Lei 北京邮电大学

Zou Xuechao 青海大学

Fang Yuqiang 航天工程大学

Yin Lu 北京遥感信息研究所

Zhao Jian 智能博弈与决策实验室

Xing Junliang 清华大学

WANG Yifan 西南石油大学计算机与软件学院

Related Institution

Tsinghua University

Beijing University of Posts and Telecommunications

Intelligent Game and Decision Lab

University of Aerospace Engineering

Qinghai University