Foreign object debris material recognition based on convolutional neural networks

Foreign object debris material recognition based on convolutional neural networks

Abstract The material attributes of foreign object debris (FOD) are the most crucial factors to understand the level of damage sustained by an aircraft. However, the prevalent FOD detection systems lack an effective method for automatic material recognition. This paper proposes a novel FOD material...

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Bibliographic Details
Main Authors: Haoyu Xu, Zhenqi Han, Songlin Feng, Han Zhou, Yuchun Fang
Format: Article
Language:English
Published: SpringerOpen 2018-04-01
Series:EURASIP Journal on Image and Video Processing
Subjects:
Foreign object debris
Material recognition
Deep learning
Deep convolutional neural networks
Transfer learning
Online Access:http://link.springer.com/article/10.1186/s13640-018-0261-2

Internet

http://link.springer.com/article/10.1186/s13640-018-0261-2

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