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

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