Robust and Efficient Classification for Underground Metal Target Using Dimensionality Reduction and Machine Learning

Robust and Efficient Classification for Underground Metal Target Using Dimensionality Reduction and Machine Learning

Underground metal target detection technology has been widely applied in industrial production, resource exploration, and engineering construction, etc. However, due to the influence of non-negligible noise and high dimensionality in collected data, achieving efficient and accurate underground targe...

Full description

Bibliographic Details
Main Authors: Yadong Wan, Tong Li, Peng Wang, Shihong Duan, Chao Zhang, Na Li
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Dimensionality reduction
machine learning
underground target classification
underground target detection
Online Access:https://ieeexplore.ieee.org/document/9314126/

Internet

https://ieeexplore.ieee.org/document/9314126/

Similar Items