Anomaly Detection Method With Rebar Response Suppression for Microwave Ground Penetrating Radar Pavement Inspection

Anomaly Detection Method With Rebar Response Suppression for Microwave Ground Penetrating Radar Pavement Inspection

Unsupervised anomaly detection analysis using rebar response rejection is presented for microwave ground penetrating radar (GPR)-based pavement inspections. Various approaches have been used to detect cracks, water, or corrosion in buried objects in the GPR model using synthetic aperture radar (SAR)...

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Bibliographic Details
Main Authors: Natsuki Akiyama, Takahide Morooka, Katsuyoshi Suzuki, Shouhei Kidera
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Anomaly detection
clutter rejection signal processing
ground penetrating radar (GPR)
microwave pavement inspections
time–frequency (TF) analysis
unsupervised machine learning
Online Access:https://ieeexplore.ieee.org/document/10585295/
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