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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:13 August 2024

      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
Yu Guanghao 厦门理工学院计算机与信息工程学院;福建省模式识别与图像理解重点实验室
Chen Runlin 厦门理工学院计算机与信息工程学院;福建省模式识别与图像理解重点实验室
Xu Jinyan 自然资源部海岛研究中心,平潭
Xu Qianxiang 深圳市智慧城市科技发展集团有限公司

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
College of Computer and Information Engineering, Xiamen University of Technology
Fujian Key Laboratory of Pattern Recognition and Image Understanding
Island Research Center, Ministry of Natural Resources, Pingtan
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