Particle Center Supported Plane for Subsurface Target Classification based on Full Polarimetric Ground Penetrating Radar

Particle Center Supported Plane for Subsurface Target Classification based on Full Polarimetric Ground Penetrating Radar

The subsurface target classification of ground penetrating radar (GPR) is a popular topic in the field of geophysics. Among the existing classification methods, geometrical features and polarimetric attributes of targets are primarily used. As polarimetric attributes contain more information of targ...

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Bibliographic Details
Main Authors: Xuan Feng, Haoqiu Zhou, Cai Liu, Yan Zhang, Wenjing Liang, Enhedelihai Nilot, Minghe Zhang, Zejun Dong
Format: Article
Language:English
Published: MDPI AG 2019-02-01
Series:Remote Sensing
Subjects:
full polarimetric GPR
machine learning (ML)
classification
particle center supported plane (PCSP)
particle swarm optimization (PSO)
H-Alpha decomposition
Online Access:https://www.mdpi.com/2072-4292/11/4/405

Internet

https://www.mdpi.com/2072-4292/11/4/405

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