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Lightweight Small Target Detection Network Based on UAV

  • CONG Yuhua 1, 2 ,
  • HE Xiao 2 ,
  • XING Changda 1, 3 ,
  • CHENG Xuming 1 ,
  • TANG Xin 1 ,
  • WANG Zhisheng 1 ,
  • OUYANG Quan 1
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  • 1 College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210006, China
  • 2 Zijin College Nanjing University of Science and Technology, Nanjing 210023, China
  • 3 Shenzhen Research Institute of Nanjing University of Aeronautics and Astronautics, Shenzhen 518063, Guangdong, China

Received date: 2022-06-23

  Online published: 2025-02-25

Abstract

When target detection is carried out on the UAV terminal, there are some problems such as limited computing power of the airborne embedded equipment, small target, complex background and low image resolution. Therefore, the target detection network adopts the YOLO system framework, and on this basis, the target detection network is improved in lightweight and accuracy.The SPP module is introduced into the backbone feature extraction network part, the attention mechanism is introduced into the feature enhancement network part, and the decoupling head mechanism is used in the feature output part. The comparison test shows that the improved algorithm has real-time and high accuracy, and is suitable for the application of unmanned aerial vehicles.

Cite this article

CONG Yuhua , HE Xiao , XING Changda , CHENG Xuming , TANG Xin , WANG Zhisheng , OUYANG Quan . Lightweight Small Target Detection Network Based on UAV[J]. Journal of Projectiles, Rockets, Missiles and Guidance, 2022 , 42(6) : 6 -12 . DOI: 10.15892/j.cnki.djzdxb.2022.06.002

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Outlines

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