Foreign Object Debris (FOD) Classification Through Material Recognition Using Deep Convolutional Neural Network With Focus on Metal

Foreign Object Debris (FOD) Classification Through Material Recognition Using Deep Convolutional Neural Network With Focus on Metal

Foreign object debris (FOD) is any undesired and unintended object placed or found in the specific vicinity of an aircraft (runway/ taxiway) that can cause damage to aircraft or harm personnel on board such as twisted metal strips, screws, nuts, and bolts, depleted concrete runway pieces, stones, pe...

Full description

Bibliographic Details
Main Authors: Syeda Mahrukh Zainab, Khurram Khan, Adnan Fazil, Muhammad Zakwan
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Deep convolutional neural network (DCNN)
FOD
material classification
Online Access:https://ieeexplore.ieee.org/document/10024955/

Internet

https://ieeexplore.ieee.org/document/10024955/

Similar Items