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    • Fusion of multi-feature and self-attention for rotating target detection of outdoor helicopter blades

    • In the field of helicopter blade detection, researchers have proposed a rotating target detector FMSA-RD that integrates multiple features and self attention, effectively improving the detection accuracy and speed of blades under complex outdoor lighting backgrounds.
    • Vol. 30, Issue 1, Pages: 240-253(2025)   

      Received:07 October 2023

      Revised:2024-05-13

      Published:16 January 2025

    • DOI: 10.11834/jig.230693     

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  • Xu Feilong, Xiong Bangshu, Ou Qiaofeng, Yu Lei, Rao Zhibo. 2025. Fusion of multi-feature and self-attention for rotating target detection of outdoor helicopter blades. Journal of Image and Graphics, 30(01):0240-0253 DOI: 10.11834/jig.230693.
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相关作者

Wang Xing 临沂大学信息科学与工程学院
Chen Ji 临沂大学信息科学与工程学院
Cao Kerang 沈阳化工大学计算机科学与技术学院
Bao Na 沈阳化工大学计算机科学与技术学院
Liu Ye 临沂大学信息科学与工程学院
Huo Yalin 华北电力大学电子与通信工程系
Qi Yincheng 华北电力大学电子与通信工程系;华北电力大学河北省电力物联网技术重点实验室
Wang Ning 华北电力大学电子与通信工程系

相关机构

School of Computer Science and Technology, Shenyang University of Chemical Technology
School of Computer Science and Engineering, Linyi University
Wuhan Branch, State Grid Hubei Comprehensive Energy Service Co., Ltd.
Hebei Key Laboratory of Power Internet of Things Technology, North China Electric Power University
Department of Electronic and Communication Engineering, North China Electric Power University
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