Chunwu LIU, Qingyun FANG, Zhaokui WANG. An Intelligent Inspection Method for Spacecraft Surface Damage Based on Small Sample Data Augmentation[J]. AEROSPACE SHANGHAI, 2024, 41(3): 150
- AEROSPACE SHANGHAI
- Vol. 41, Issue 3, 150 (2024)
Fig. 1. Principle of the GAN
Fig. 2. Network architecture of the SDSE-GAN
Fig. 3. Internal structures of the generator and discriminator of the SDSE-GAN
Fig. 4. Some images of the dataset expanded by the SDSE-GAN
Fig. 5. Common types of exterior surface damage of spacecrafts identified in image samples
Fig. 6. Network architecture of YOLOv5
Fig. 7. Inspection results of model inference
Fig. 8. Surface damage dataset of the NEU-CLS steel
Fig. 9. Comparison of the training metric parameters before and after data augmentation
|
Table 1. Comparison of the performance indicators of several object detection algorithms
Set citation alerts for the article
Please enter your email address
© Copyright 2018-2021 | Chinese Laser Press. All Rights Reserved 沪ICP备15018463号-20