Aircraft Skin Damage Detection Based on Rotating Object Detection

Table 1. Distribution of each instance of lightning damage
View table
Table 1. Distribution of each instance of lightning damage
Classe edge rivet paint ablation melt fibre total
Training set 85 119 243 433 235 87 1202
Testing set 28 33 50 92 29 31 263

Table 2. Comparative experimental results of different modules

View table

Table 2. Comparative experimental results of different modules

Model	edge	rivet	paint	ablation	melt	fibre	mAP
BBAV	65.23	66.38	53.81	63.32	49.85	68.16	60.13
BBAV+Data1	65.81	66.52	53.42	62.93	50.31	68.37	61.23
BBAV+Data2	66.75	66.71	53.92	63.01	49.02	69.06	61.41
BBAV+Data*	67.86	67.37	54.01	63.24	51.58	69.37	62.26
BBAV+FFN	69.37	67.81	55.14	65.73	51.97	71.93	63.66
BBAV+CA	68.05	68.52	57.78	64.62	54.53	70.04	63.92
BBAV+All	70.96	68.83	59.75	66.27	57.22	71.96	65.83

Table 3. Comparison of detection results of different algorithms

View table

Table 3. Comparison of detection results of different algorithms

Model	edge	rivet	paint	ablation	melt	fibre	mAP
SSD	39.46	50.87	51.48	52.64	50.85	43.29	48.11
YOLOv3	41.56	53.67	51.63	60.45	49.21	49.67	51.03
YOLOv4	49.69	59.77	60.08	67.82	58.49	56.91	58.79
YOLOv5	51.74	60.63	59.79	68.44	59.85	58.06	59.75
Faster RCNN	50.86	61.10	60.13	68.76	59.43	59.34	59.94
Proposed model	70.96	68.83	59.75	66.27	57.22	71.96	65.83

Tools

Get Citation

Copy Citation Text

Tong Wang, Hongwei Wang, Hong Wang. Aircraft Skin Damage Detection Based on Rotating Object Detection[J]. Laser & Optoelectronics Progress, 2023, 60(10): 1010025

Download Citation

EndNote(RIS)BibTex Plain Text

Set citation alerts for article

Save article for my favorites