• Laser & Optoelectronics Progress
  • Vol. 57, Issue 22, 221010 (2020)
Wenqing Wang1, Lin Feng1, Yang Liu1、*, Dongfang Yang2, and Meng Zhang2
Author Affiliations
  • 1College of Automation, Xi'an University of Posts & Telecommunications, Xi'an, Shaanxi 710121, China;
  • 2College of Missile Engineering, Rocket Force University of Engineering, Xi'an, Shaanxi 710025, China
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    DOI: 10.3788/LOP57.221010 Cite this Article Set citation alerts
    Wenqing Wang, Lin Feng, Yang Liu, Dongfang Yang, Meng Zhang. Air-to-Ground Target Detection Algorithm Based on DenseNet and Channel Attention Mechanism[J]. Laser & Optoelectronics Progress, 2020, 57(22): 221010 Copy Citation Text show less
    Structure diagram of Dense block
    Fig. 1. Structure diagram of Dense block
    Structure of SENet
    Fig. 2. Structure of SENet
    Structure diagram of SE-DenseSSD algorithm
    Fig. 3. Structure diagram of SE-DenseSSD algorithm
    Sample images in the data set
    Fig. 4. Sample images in the data set
    Training curves of different algorithms
    Fig. 5. Training curves of different algorithms
    Test results of different algorithms. (a) VGG-SSD; (b) DenseSSD; (c) SE-DenseSSD
    Fig. 6. Test results of different algorithms. (a) VGG-SSD; (b) DenseSSD; (c) SE-DenseSSD
    AlgorithmmAP/%Parameter/ MB
    VGG-SSD36.53101
    DenseSSD38.3617
    SE-DenseSSD39.9721
    Table 1. Model parameters and mAP obtained by different algorithms
    Wenqing Wang, Lin Feng, Yang Liu, Dongfang Yang, Meng Zhang. Air-to-Ground Target Detection Algorithm Based on DenseNet and Channel Attention Mechanism[J]. Laser & Optoelectronics Progress, 2020, 57(22): 221010
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