您当前的位置:
首页 >
文章列表页 >
Multi-feature cross UAV image detection algorithm under cross-layer attentional interaction
Information Sciences | 更新时间:2026-01-16
    • Multi-feature cross UAV image detection algorithm under cross-layer attentional interaction

    • In the field of unmanned aerial vehicle traffic inspection, the MCAI algorithm effectively improves target detection accuracy and robustness under extreme weather conditions through cross layer attention interaction and multi feature intersection.
    • Optics and Precision Engineering   Vol. 32, Issue 24, Pages: 3616-3631(2024)
    • DOI:10.37188/OPE.20243224.3616    

      CLC: TP391.4
    • Received:05 June 2024

      Revised:2024-08-16

      Published:25 December 2024

    移动端阅览

  • ZHANG Zhihao,DU Lixia,HOU Yue,et al.Multi-feature cross UAV image detection algorithm under cross-layer attentional interaction[J].Optics and Precision Engineering,2024,32(24):3616-3631.

  •  
  •  

0

Views

415

下载量

0

CSCD

Alert me when the article has been cited
提交
Tools
Download
Export Citation
Share
Add to favorites
Add to my album

Related Articles

HADN-Net: hierarchical attention dense nested network for faint astronomical target detection
Deep-sea pollutant detection for autonomous underwater robots
Wavelet dehazeformer network for road traffic image dehazing method
Underwater image enhancement synthesizing multi-scale information and attention mechanisms
Identification and suppression of stars under large range of star field density variation

Related Author

XU Lijun
XUE Wu
ZHANG Biao
ZHU Zhenyang
XU Jiazhong
XIA Ping
LI Ziyi
LEI Bangjun

Related Institution

Space Engineering University
Heilongjiang Provincial Key Laboratory of Complex Intelligent System and Integration, Harbin University of Science and Technology
Hubei Key Laboratory of Intelligent Vision based Monitoring for Hydroelectric Engineering, Three Gorges University
College of Computer and Information Technology, Three Gorges University
Key Laboratory of Road Construction Technology and Equipment,Ministry of Education,Chang' an University
0