Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
In-wall clutter suppression based on low-rank and sparse representation for through-the-wall radar
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 …
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 …
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
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 …
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
In this paper, an object characterization method based on neural networks is developed for
GPR subsurface imaging. Currently, most existing studies demonstrate detecting and …
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
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 …
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 …
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 …
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 …
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
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 …
buried objects that have little or no metal content, such as plastic, ceramic, and concrete …