• Laser & Optoelectronics Progress
  • Vol. 59, Issue 12, 1210011 (2022)
Kewen Li1, Baohua Zhang1、3、*, Xiaoqi Lv2、3, Yu Gu1、3, Yueming Wang1、3, Xin Liu1、3, Yan Ren1, Jianjun Li1、3, and Ming Zhang1、3
Author Affiliations
  • 1School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou 014010, Inner Mongolia , China
  • 2School of Information Engineering, Mongolia Industrial University, Huhehaote010051, Inner Mongolia , China
  • 3Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, Baotou 014010, Inner Mongolia , China
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    DOI: 10.3788/LOP202259.1210011 Cite this Article Set citation alerts
    Kewen Li, Baohua Zhang, Xiaoqi Lv, Yu Gu, Yueming Wang, Xin Liu, Yan Ren, Jianjun Li, Ming Zhang. Remote Sensing Aircraft Detection Based on Smooth Label and Multipath Aggregation Network[J]. Laser & Optoelectronics Progress, 2022, 59(12): 1210011 Copy Citation Text show less
    Overall network structure
    Fig. 1. Overall network structure
    Structure diagram of multipath aggregation network
    Fig. 2. Structure diagram of multipath aggregation network
    Data enhancement comparison. (a) Original image; (b) enhanced image
    Fig. 3. Data enhancement comparison. (a) Original image; (b) enhanced image
    Comparison of visual results of different algorithms. (a) SSD algorithm; (b) YOLOv4 algorithm; (c) YOLOv4-mobilenet algorithm; (d) proposed algorithm
    Fig. 4. Comparison of visual results of different algorithms. (a) SSD algorithm; (b) YOLOv4 algorithm; (c) YOLOv4-mobilenet algorithm; (d) proposed algorithm
    VLSRAP
    00.933

    0.003

    0.005

    0.007

    0.01

    0.949

    0.956

    0.936

    0.922

    Table 1. Results comparison of different smoothed label values
    AlgorithmPRF1RAPFPS
    SSD0.9790.6990.820.89044.3

    YOLOv4

    YOLOv4-mobilenet

    Proposed

    0.952

    0.948

    0.967

    0.873

    0.862

    0.918

    0.91

    0.90

    0.94

    0.933

    0.930

    0.967

    34.2

    59.7

    31.8

    Table 2. Comparison of RSOD test results
    AlgorithmPRF1RAPFPS
    SSD0.9890.9050.950.98744.3

    YOLOv4

    YOLOv4-mobilenet

    Proposed

    0.992

    0.991

    0.991

    0.986

    0.983

    0.990

    0.99

    0.99

    0.99

    0.990

    0.988

    0.993

    35.5

    62.9

    31.2

    Table 3. Comparison of HRRSD test results
    AlgorithmPRF1RAP
    YOLOv40.9520.8730.910.933

    YOLOv4+SL

    YOLOv4+MPANet

    YOLOv4+CBAM

    YOLOv4+SL+MPANet+CBAM

    0.966

    0.974

    0.963

    0.967

    0.896

    0.893

    0.900

    0.918

    0.93

    0.93

    0.93

    0.94

    0.956

    0.953

    0.953

    0.967

    Table 4. Ablation experiment
    Kewen Li, Baohua Zhang, Xiaoqi Lv, Yu Gu, Yueming Wang, Xin Liu, Yan Ren, Jianjun Li, Ming Zhang. Remote Sensing Aircraft Detection Based on Smooth Label and Multipath Aggregation Network[J]. Laser & Optoelectronics Progress, 2022, 59(12): 1210011
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