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    • Remote sensing object detection via local parameter-free attention and combined loss

    • In the field of remote sensing object detection, experts have proposed a remote sensing object detection method based on YOLOv5s network, which combines local parameter free attention and joint loss, effectively improving the detection performance of small targets in complex scenes.
    • Vol. 30, Issue 3, Pages: 683-695(2025)   

      Received:13 June 2024

      Revised:2024-08-13

      Published:16 March 2025

    • DOI: 10.11834/jig.240316     

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  • Xia Bo, Xue Weitao, Zhou Xinyao, Huang Hong. 2025. Remote sensing object detection via local parameter-free attention and combined loss. Journal of Image and Graphics, 30(03):0683-0695 DOI: 10.11834/jig.240316.
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相关作者

Xia Bo 重庆大学 光电技术与系统教育部重点实验室
Xue Weitao 北京空间机电研究所 产品检测中心
Zhou Xinyao 重庆大学 光电技术与系统教育部重点实验室
Huang Hong 重庆大学 光电技术与系统教育部重点实验室
Gao Guangshuai 中原工学院信息与通信工程学院
Shang Yunqi 中原工学院信息与通信工程学院
Dong Yan 中原工学院信息与通信工程学院;电子科技大学自动化工程学院
Shen Yuxiang 中南大学地球科学与信息物理学院

相关机构

Key Laboratory of Optoelectronic Technology and Systems of the Education Ministry of China,Chongqing University
Beijing Institute of Space Machinery and Electronics,Product Testing Center
School of Information and Communication Engineering, Zhongyuan University of Technology
School of Automation Engineering, University of Electronic Science and Technology of China
School of Geosciences and Info-physics, Central South University
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