Particle Swarm Optimization-Based Variational Mode Decomposition for Ground Penetrating Radar Data Denoising

Particle Swarm Optimization-Based Variational Mode Decomposition for Ground Penetrating Radar Data Denoising

Ground Penetrating Radar (GPR) has become a widely used technology in geophysical prospecting. The Variational Mode Decomposition (VMD) method is a fully non-recursive signal decomposition method with noise robustness for GPR data processing. The VMD algorithm determines the central frequency and ba...

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Bibliographic Details
Main Authors: Sixin Liu, Yuhan Chen, Chaopeng Luo, Hejun Jiang, Hong Li, Hongqing Li, Qi Lu
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Remote Sensing
Subjects:
Ground Penetrating Radar (GPR)
Variational Mode Decomposition (VMD)
Intrinsic Mode Function (IMF)
Particle Swarm Optimization (PSO)
signal-to-noise ratio (SNR)
root mean square error (RMSE)
Online Access:https://www.mdpi.com/2072-4292/14/13/2973

Internet

https://www.mdpi.com/2072-4292/14/13/2973

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