Tree root automatic recognition in ground penetrating radar profiles based on randomized Hough transform
As a nondestructive geophysical tool, Ground penetrating radar (GPR) has been applied in
tree root study in recent years. With increasing amounts of GPR data collected for roots, it is …
tree root study in recent years. With increasing amounts of GPR data collected for roots, it is …
Semi-supervised learning for imbalanced classification of credit card transaction
Success in supervised learning is constrained by availability of an adequate labeled data
sample for training. The problem of a complete labeling of every data of the training dataset …
sample for training. The problem of a complete labeling of every data of the training dataset …
A case study of the use of GPR for rehabilitation of a classified Art Deco building: The InovaDomus house
Ancient buildings in historical town centers can be protected by Cultural Heritage legislation,
thus implying that any rehabilitation must respect their main architectural features. These …
thus implying that any rehabilitation must respect their main architectural features. These …
Reconstruction of missing GPR data using multiple-point statistical simulation
C Zhang, M Gravey, G Mariéthoz… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Ground-penetrating radar (GPR) is a powerful geophysical tool for efficient, high-resolution
mapping of the shallow subsurface. Because of physical and economical limitations, a …
mapping of the shallow subsurface. Because of physical and economical limitations, a …
Signal processing on graphs for improving automatic credit card fraud detection
In this paper, several methods based on signal processing on graphs are proposed to
improve the performance of credit card fraud detection. The proposed methods consist of a …
improve the performance of credit card fraud detection. The proposed methods consist of a …
Computing the partial correlation of ICA models for non-Gaussian graph signal processing
Conventional partial correlation coefficients (PCC) were extended to the non-Gaussian
case, in particular to independent component analysis (ICA) models of the observed …
case, in particular to independent component analysis (ICA) models of the observed …
A ground penetrating radar data reconstruction method based on generation networks
L Xie, Q Zhao, J Huo, G Cheng - 2020 IEEE Radar Conference …, 2020 - ieeexplore.ieee.org
In this paper, a ground penetrating radar (GPR) data reconstruction method based on
generation networks is proposed. The main purpose of this method is to reconstruct the GPR …
generation networks is proposed. The main purpose of this method is to reconstruct the GPR …
Reconstruction of missing ground-penetrating radar traces using simplified U-Net
BPA Rohman, M Nishimoto… - IEEE Geoscience and …, 2021 - ieeexplore.ieee.org
Ground-penetrating radar is an effective tool for the exploration of subsurface and obscured
objects by exploiting the electromagnetic wave characteristics. However, some problems in …
objects by exploiting the electromagnetic wave characteristics. However, some problems in …
Using interpolation techniques to determine the optimal profile interval in ground-penetrating radar applications
Ground-penetrating radar (GPR) is a geophysical method that is seeing increasing use for
near-surface underground research and applications. To achieve the required depth and …
near-surface underground research and applications. To achieve the required depth and …
[HTML][HTML] Development of a full-scale connected U-Net for reflectivity inpainting in spaceborne radar blind zones
F King, C Pettersen, CG Fletcher… - Artificial Intelligence for …, 2024 - journals.ametsoc.org
Abstract CloudSat's Cloud Profiling Radar is a valuable tool for remotely monitoring high-
latitude snowfall, but its ability to observe hydrometeor activity near the Earth's surface is …
latitude snowfall, but its ability to observe hydrometeor activity near the Earth's surface is …