• Acta Optica Sinica
  • Vol. 38, Issue 6, 0615004 (2018)
Xiaoyu Feng*, Wei Mei, and Dashuai Hu
Author Affiliations
  • Department of Electronics and Optics Engineering, Army Engineering University, Shijiazhuang, Hebei 050003, China
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    DOI: 10.3788/AOS201838.0615004 Cite this Article Set citation alerts
    Xiaoyu Feng, Wei Mei, Dashuai Hu. Aerial Target Detection Based on Improved Faster R-CNN[J]. Acta Optica Sinica, 2018, 38(6): 0615004 Copy Citation Text show less
    Frame of Faster R-CNN
    Fig. 1. Frame of Faster R-CNN
    Accumulation of dilation
    Fig. 2. Accumulation of dilation
    Pooling of feature map
    Fig. 3. Pooling of feature map
    Regional amplification
    Fig. 4. Regional amplification
    Influences of scale and occlusion on confidences
    Fig. 5. Influences of scale and occlusion on confidences
    False positive with high confidence
    Fig. 6. False positive with high confidence
    Frame of improved Faster R-CNN
    Fig. 7. Frame of improved Faster R-CNN
    Examples of detection results
    Fig. 8. Examples of detection results
    Examples of detection results of M4
    Fig. 9. Examples of detection results of M4
    ContentFighterHelicopterAerobusBirdOthers
    Video11 sequences(about 7000 frames)7 sequences(about 6000 frames)10 sequences(about 9000 frames)4 sequences(about 1000 frames)6 sequences(about 4000 frames)
    Image300300300300300
    Table 1. Dataset of aerial targets
    ModelFighterHelicopterAerobusBirdOthersmAP
    M090.7691.0492.3563.7172.7682.12
    M293.4296.6794.2275.8195.7691.18
    M391.5392.6493.1969.3778.0784.96
    M498.7299.3797.4298.6199.7698.78
    Table 2. Result on test set1 %
    ModelFighterHelicopterAerobusBirdOthersmAP
    M0000000
    M154.0568.6662.2639.6185.3661.99
    Table 3. Result on test set2%
    DetectorFaster R-CNN[9]SSD299[10]SSD443[10]YOLO[11]YOLOv2 544[11]M4
    AP /%84.971.278.677.086.390.7%
    Speed /(frame·s-1)8.34619454025
    Table 4. Detection performances on class aero of VOC
    Xiaoyu Feng, Wei Mei, Dashuai Hu. Aerial Target Detection Based on Improved Faster R-CNN[J]. Acta Optica Sinica, 2018, 38(6): 0615004
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