[HTML][HTML] Recent advances in pipeline monitoring and oil leakage detection technologies: Principles and approaches

MA Adegboye, WK Fung, A Karnik - Sensors, 2019‏ - mdpi.com
Pipelines are widely used for the transportation of hydrocarbon fluids over millions of miles
all over the world. The structures of the pipelines are designed to withstand several …

A comprehensive study of techniques utilized for structural health monitoring of oil and gas pipelines

VB Sharma, S Tewari, S Biswas… - Structural Health …, 2024‏ - journals.sagepub.com
An extensive network of pipelines is extensively employed worldwide to carry oil and gas
fluids over millions of kilometers. The pipeline channel was constructed to resist …

[کتاب][B] Ground penetrating radar theory and applications

HM Jol - 2008‏ - books.google.com
Ground-penetrating radar (GPR) is a rapidly develo** field that has seen tremendous
progress over the past 15 years. The development of GPR spans aspects of geophysical …

GPR B scan image analysis with deep learning methods

U Ozkaya, F Melgani, MB Bejiga, L Seyfi, M Donelli - Measurement, 2020‏ - Elsevier
In this paper, we propose a Convolutional Support Vector Machine (CSVM) network for the
analysis of Ground Penetrating Radar B Scan (GPR B Scan) images. Similar to a …

Intelligent, Automated, Rapid, and Safe Landmine, Improvised Explosive Device and Unexploded Ordnance Detection Using Maggy

K Kuru, A Sujit, D Ansell, JM Pinder, D Jones… - IEEE …, 2024‏ - ieeexplore.ieee.org
Detecting and clearing legacy landmines, Improvised Explosive Devices (IED), and
Unexploded Ordnances (UXO) using a force made up of humans or animals is extremely …

Some good practices for applying convolutional neural networks to buried threat detection in ground penetrating radar

D Reichman, LM Collins… - 2017 9th International …, 2017‏ - ieeexplore.ieee.org
Ground Penetrating Radar (GPR) is a remote sensing modality that has been researched
extensively for buried threat detection. For this purpose, algorithms can be developed to …

Application of convolutional and recurrent neural networks for buried threat detection using ground penetrating radar data

M Moalla, H Frigui, A Karem… - IEEE Transactions on …, 2020‏ - ieeexplore.ieee.org
We propose discrimination algorithms for buried threat detection (BTD) that exploit deep
convolutional neural networks (CNNs) and recurrent neural networks (RNN) to analyze 2-D …

Robust adaptive detection of buried pipes using GPR

Q Hoarau, G Ginolhac, AM Atto, JM Nicolas - Signal Processing, 2017‏ - Elsevier
Detection of buried objects such as pipes using a Ground Penetrating Radar (GPR) is
intricate for three main reasons. First, noise is important in the resulting image because of …

Fast prescreening for GPR antipersonnel mine detection via go decomposition

D **ang, K Zhou, Y Su - IEEE Geoscience and Remote …, 2018‏ - ieeexplore.ieee.org
Ground-penetrating radar (GPR) has been widely used for antipersonnel mine (APM)
detection. However, its efficiency is often impaired by high false alarm rate (FAR) caused by …

[HTML][HTML] Uav-mounted gpr for object detection based on cross-correlation background subtraction method

S Wu, L Wang, X Zeng, F Wang, Z Liang, H Ye - Remote Sensing, 2022‏ - mdpi.com
Unmanned aerial vehicle (UAV) ground-penetrating radar (GPR) is an important research
topic for target detection in many fields. In this paper, we develop a UAV-mounted GPR …