Iterative application of generative adversarial networks for improved buried pipe detection from images obtained by ground‐penetrating radar
PJ Chun, M Suzuki, Y Kato - Computer‐Aided Civil and …, 2023 - Wiley Online Library
Ground‐penetrating radar (GPR) is widely used to determine the location of buried pipes
without excavation, and machine learning has been researched to automatically identify the …
without excavation, and machine learning has been researched to automatically identify the …
Learning to remove clutter in real-world GPR images using hybrid data
The clutter in the ground-penetrating radar (GPR) radargram disguises or distorts
subsurface target responses, which severely affects the accuracy of target detection and …
subsurface target responses, which severely affects the accuracy of target detection and …
Pavement-distress detection using ground-penetrating radar and network in networks
This study proposes a nondestructive testing technique for pavement distress detection
using ground-penetrating radar and network in networks. Ground-penetrating radar signals …
using ground-penetrating radar and network in networks. Ground-penetrating radar signals …
A novel convolutional autoencoder-based clutter removal method for buried threat detection in ground-penetrating radar
E Temlioglu, I Erer - IEEE Transactions on Geoscience and …, 2021 - ieeexplore.ieee.org
The clutter encountered in ground-penetrating radar (GPR) systems seriously affects the
performance of the subsurface target detection methods. A new clutter removal method …
performance of the subsurface target detection methods. A new clutter removal method …
Enhancing subsurface exploration: A comprehensive review of advanced clutter removal techniques for ground penetrating radar imaging
Ground penetrating radar (GPR) has emerged as a powerful non-destructive imaging tool
and widely used technology for subsurface imaging across various fields. However, one of …
and widely used technology for subsurface imaging across various fields. However, one of …
A high-efficiency spectral element method based on CFS-PML for GPR numerical simulation and reverse time migration
Improving the accuracy and efficiency of the numerical simulation of ground penetrating
radar (GPR) becomes a pressing need with the rapidly increased amount of inversion data …
radar (GPR) becomes a pressing need with the rapidly increased amount of inversion data …
Flexibility-residual BiSeNetV2 for GPR image decluttering
B Li, D Yuan, G Yang, T Xu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The acquisition of ground-penetrating radar (GPR) data is often impeded by clutter, which
poses a significant obstacle to the effectiveness of target detection algorithms. This article …
poses a significant obstacle to the effectiveness of target detection algorithms. This article …
GPR clutter reduction by robust orthonormal subspace learning
The clutter severely decreases the target visibility, thus the detection rates in ground
penetrating radar (GPR) systems. Recently proposed robust principal component analysis …
penetrating radar (GPR) systems. Recently proposed robust principal component analysis …
GPR clutter removal based on factor group-sparse regularization
L Liu, Z Wu, H Xu, B Wang, J Li - IEEE Geoscience and Remote …, 2021 - ieeexplore.ieee.org
Clutter removal is of vital importance to underground detection via ground penetrating radar
(GPR) since the target response is usually overwhelmed by strong clutter. The low-rank and …
(GPR) since the target response is usually overwhelmed by strong clutter. The low-rank and …
Clutter removal method for GPR based on low-rank and sparse decomposition with total variation regularization
Y Zhao, X Yang, X Qu, T Lan… - IEEE Geoscience and …, 2023 - ieeexplore.ieee.org
The performance of ground penetrating radar (GPR) target detection is seriously affected by
the clutter. In this letter, an effective GPR clutter removal method is proposed based on low …
the clutter. In this letter, an effective GPR clutter removal method is proposed based on low …