Models and Methods | Views:8Downloads:0CSCD:0
Export
Collection
Album
Small target detection method for remote sensing images with multi-attention mechanism
- “This paper introduces the research progress of synthetic aperture radar (SAR) in the field of remote sensing target detection, focusing on the problems of large target scale differences, difficult feature extraction and fusion in SAR remote sensing small target image detection. The research team has established an improved YOLO11n method that integrates multiple attention mechanisms, providing a solution to the problem of insufficient accuracy in SAR ship target detection in complex scenes.”
- Vol. 30, Issue 9, Pages: 2793-2810(2026)
DOI:10.11834/jrs.20265431
Quote
Translate The Full Text
Scan QR Code
AI Introduction
Full Text(HTML)
Figs( 42 ) Tabs( 4 )
References
Publication Info
Metrics
Alert me when the article has been cited
Submit
Related Author
YU Zhirui 西南交通大学 地球科学与工程学院
YIN Zhanpeng 西南交通大学 地球科学与工程学院
WANG Junyu 西南交通大学 地球科学与工程学院
ZHOU Liang 西南交通大学 地球科学与工程学院
YE Yuanxin 西南交通大学 地球科学与工程学院
SHAO Pan 三峡大学 湖北省水电工程智能视觉监测重点实验室;三峡大学 计算机与信息学院
GAO Zi’ang 三峡大学 湖北省水电工程智能视觉监测重点实验室;三峡大学 计算机与信息学院
LI Kewen 国家能源集团谏壁发电厂
Related Institution
Faculty of Geosciences and Engineering, Southwest Jiaotong University
Hubei Key Laboratory of Intelligent Vision Monitoring for Hydroelectric Engineering, China Three Gorges University
College of Computer and Information Technology, China Three Gores University
National Energy Group Jianbi Power Plant
Yellow River Engineering Consulting Co., Ltd.


