Laser & Optoelectronics Progress, Volume. 57, Issue 4, 041007(2020)
Airplane Detection of Optical Remote Sensing Images Based on Deep Learning
Figures & Tables(8)
Fig. 4. Network structures of feature extraction for ResNet50. (a) Original structure; (b) improved structure
Fig. 6. First set of contrast pictures. (a) Original picture; (b) picture detected by Mask-RCNN; (c) picture detected by SMask-RCNN
Fig. 7. Second set of contrast pictures. (a) Original picture; (b) picture detected by Mask-RCNN; (c) picture detected by SMask-RCNN
Table 1. Real size table of different models of aircrafts
View tableTable 1. Real size table of different models of aircrafts
Aircraft type Aircraft length /m Aeroplane span /m Wingspan range of aircraft length /m F-16 15.09 9.45 MV-22 17.50 14.00 10--20 F-22 18.90 13.56 F-15 19.45 13.05 C-130H 21.00 30.00 20--40 P-3C 35.57 30.36 B737 42.10 35.80 A320 44.51 34.10 B-1B 44.50 24.00 40--60 B-52H 49.05 56.40 C-17 53.29 50.29 A124 69.10 73.30 A380 72.72 79.75 60--80 A340 75.30 63.45 B747-8 76.40 68.50
Table 2. Comparison of mAP values of different models at different IOU values%
View tableTable 2. Comparison of mAP values of different models at different IOU values%
Model mAP Iou=40 Iou=50 Iou=60 Faster-RCNN 90.7 89.3 62.6 Faster-RCNN+FPN 93.0 91.2 65.9 Mask-RCNN 95.3 94.1 79.7 SMask-RCNN 97.4 95.7 80.2
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Yongfeng Dong, Changtao Zhang, Peng Wang, Zhe Feng. Airplane Detection of Optical Remote Sensing Images Based on Deep Learning[J]. Laser & Optoelectronics Progress, 2020, 57(4): 041007
Paper Information
Category: Image Processing
Received: May. 28, 2019
Accepted: Jul. 25, 2019
Published Online: Feb. 20, 2020
The Author Email: Changtao Zhang (changtao2019@129.com), Peng Wang (hebutwangpeng2019@163.com)
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