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Volume 45 Issue 7
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LI Xiangrong, SUN Lihui. Multiscale Infrared Target Detection Based on Attention Mechanism[J]. Infrared Technology , 2023, 45(7): 746-754.
Citation: LI Xiangrong, SUN Lihui. Multiscale Infrared Target Detection Based on Attention Mechanism[J]. Infrared Technology , 2023, 45(7): 746-754.
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Multiscale Infrared Target Detection Based on Attention Mechanism

  • College of Information Technology, Hebei University of Economics and Business, Shijiazhuang 050061, China

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  • Received Date: April 09, 2022
  • Revised Date: July 19, 2022
    Graphical Abstract
    • Abstract
  • To address the problems of poor textural detail, low contrast, and poor target detection in infrared images, a multiscale infrared target detection model that integrates a channel attention mechanism is proposed based on Yolov4 (You Only Look Once version 4). First, the number of model parameters is reduced by reducing the depth of the backbone feature extraction network. Second, to supplement the shallow high-resolution feature information, the multiscale feature fusion module is reconstructed to improve the utilization of the feature information. Finally, before the multiscale feature map is generated, the channel attention mechanism is integrated to further improve the infrared feature extraction ability and reduce noise interference. The experimental results show that the size of the algorithm model in this study was only 28.87% of the Yolov4. The detection accuracy of the infrared targets also significantly improved.
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    • References (21)
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