In-wall clutter suppression based on low-rank and sparse representation for through-the-wall radar

Y Zhang, T **a - IEEE Geoscience and Remote Sensing Letters, 2016 - ieeexplore.ieee.org
For through-the-wall-radar signal processing, there exist extensive studies on removing the
wall surface reflection signal, while how to eliminate/alleviate the in-wall structure reflection …

Time-frequency analysis of enhanced GPR detection of RF tagged buried plastic pipes

WY Zhang, T Hao, Y Chang, YH Zhao - Ndt & E International, 2017 - Elsevier
Abstract Ground Penetrating Radar (GPR) is a well-received non-destructive technique for
the detection of underground utilities, such as water/gas pipes, sewers, power cables, and …

[HTML][HTML] A comprehensive evaluation for the tunnel conditions with ground penetrating radar measurements

JM Puntu, PY Chang, DJ Lin, HH Amania, YG Doyoro - Remote Sensing, 2021 - mdpi.com
We aim to develop a comprehensive tunnel lining detection method and clustering
technique for semi-automatic rebar identification in order to investigate the ten tunnels along …

Underground object characterization based on neural networks for ground penetrating radar data

Y Zhang, D Huston, T **a - … characterization and monitoring of …, 2016 - spiedigitallibrary.org
In this paper, an object characterization method based on neural networks is developed for
GPR subsurface imaging. Currently, most existing studies demonstrate detecting and …

Ground-penetrating radar railroad ballast inspection with an unsupervised algorithm to boost the region of interest detection efficiency

Y Zhang, AS Venkatachalam… - Journal of Applied Remote …, 2015 - spiedigitallibrary.org
Railroad ballast inspection is critical for the safety of both passenger and freight rail. Ground-
penetrating radar (GPR) has been utilized as a highly efficient nondestructive evaluation …

Classifying GPR images using convolutional neural networks

M Almaimani - 2018 - scholar.utc.edu
This thesis focused on classifying GPR cylinders' B-scans according to their depth, size,
material, and the dielectric constant of the underlying medium using four different …

Back-projection algorithm based on self-correlation for ground-penetrating radar imaging

H Zhang, S Ouyang, G Wang, J Li… - Journal of Applied …, 2015 - spiedigitallibrary.org
In ground-penetrating radar imaging, the classic back-projection (BP) algorithm has an
excellent reputation for imaging in layered media with convenience and robustness …

Algorithm for the extraction of selected rail track ballast degradation using machine vision

P Lesiak, P Bojarczak, A Sokołowski - Transport Problems, 2023 - yadda.icm.edu.pl
A number of physical methods are used to survey railway track ballast to assess its
degradation as a function of deposition. Simulation tests on track models are also …

Buried nonmetallic object detection using bistatic ground penetrating radar with variable antenna elevation angle and height

Y Zhang, D Orfeo, D Burns, J Miller… - … and Monitoring of …, 2017 - spiedigitallibrary.org
Ground penetrating radar (GPR) has been shown to be an effective device for detecting
buried objects that have little or no metal content, such as plastic, ceramic, and concrete …