Tree root automatic recognition in ground penetrating radar profiles based on randomized Hough transform

W Li, X Cui, L Guo, J Chen, X Chen, X Cao - Remote Sensing, 2016 - mdpi.com
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 …

Semi-supervised learning for imbalanced classification of credit card transaction

A Salazar, G Safont, L Vergara - 2018 International Joint …, 2018 - ieeexplore.ieee.org
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 …

A case study of the use of GPR for rehabilitation of a classified Art Deco building: The InovaDomus house

N Barraca, M Almeida, H Varum, F Almeida… - Journal of Applied …, 2016 - Elsevier
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 …

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 …

Signal processing on graphs for improving automatic credit card fraud detection

L Vergara, A Salazar, J Belda, G Safont… - 2017 International …, 2017 - ieeexplore.ieee.org
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 …

Computing the partial correlation of ICA models for non-Gaussian graph signal processing

J Belda, L Vergara, G Safont, A Salazar - Entropy, 2018 - mdpi.com
Conventional partial correlation coefficients (PCC) were extended to the non-Gaussian
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 …

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 …

Using interpolation techniques to determine the optimal profile interval in ground-penetrating radar applications

R Samet, E Çelik, S Tural, E Şengönül, M Özkan… - Journal of Applied …, 2017 - Elsevier
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 …

[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 …