Contactless ground penetrating radar imaging: State of the art, challenges, and microwave tomography-based data processing
This article provides a comprehensive overview of the current state of the art in contactless
ground-penetrating radar (GPR) systems. These devices offer many large-scale subsurface …
ground-penetrating radar (GPR) systems. These devices offer many large-scale subsurface …
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 …
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 …
Declutter-GAN: GPR B-scan data clutter removal using conditional generative adversarial nets
ZK Ni, C Shi, J Pan, Z Zheng, S Ye… - IEEE Geoscience and …, 2022 - ieeexplore.ieee.org
Clutter removal in ground-penetrating radar (GPR) B-scan data has been widely studied in
recent years. In this letter, we propose a novel data-driven clutter suppression method in …
recent years. In this letter, we propose a novel data-driven clutter suppression method in …
Improved clutter removal in GPR by robust nonnegative matrix factorization
The clutter encountered in the ground-penetrating radar (GPR) system severely decreases
the visibility of subsurface objects, thus highly degrading the performance of the target …
the visibility of subsurface objects, thus highly degrading the performance of the target …
GPR detection localization of underground structures based on deep learning and reverse time migration
J Lei, H Fang, Y Zhu, Z Chen, X Wang, B Xue… - NDT & E …, 2024 - Elsevier
Ground penetrating radar (GPR) is widely used in detection localization of underground
structure anomalous bodies. However, it is impossible to achieve accurate imaging …
structure anomalous bodies. However, it is impossible to achieve accurate imaging …
GPR Full-Waveform Inversion with Deep-Learning Forward Modelling: A Case Study from Non-Destructive Testing
O Patsia, A Giannopoulos… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Numerical modeling of ground penetrating radars (GPRs), such as the finite-difference time-
domain (FDTD) method, has been extensively used to enhance the interpretation of GPR …
domain (FDTD) method, has been extensively used to enhance the interpretation of GPR …
An automated GPR signal denoising scheme based on mode decomposition and principal component analysis
T Hao, L Jing, W He - IEEE Geoscience and Remote Sensing …, 2022 - ieeexplore.ieee.org
Ground penetrating radar (GPR) signal processing has used mode decomposition methods
such as empirical mode decomposition (EMD), variational mode decomposition, and their …
such as empirical mode decomposition (EMD), variational mode decomposition, and their …
Background removal, velocity estimation, and reverse-time migration: a complete GPR processing pipeline based on machine learning
O Patsia, A Giannopoulos… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The performance of ground-penetrating radar (GPR) is greatly influenced by the cross
coupling between the transmitter and the receiver, and the response from the background …
coupling between the transmitter and the receiver, and the response from the background …
Adaptive ground clutter reduction in ground-penetrating radar data based on principal component analysis
G Chen, L Fu, K Chen, CD Boateng… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Singular value decomposition is an effective way to remove ground clutter in ground-
penetrating radar (GPR) applications. The main limitation of this method is the selection of …
penetrating radar (GPR) applications. The main limitation of this method is the selection of …