Results 71 to 80 of about 25,932 (218)

Identification of Buried Objects in GPR Using Amplitude Modulated Signals Extracted from Multiresolution Monogenic Signal Analysis

Sensors, 2015
It is necessary to detect the target reflections in ground penetrating radar (GPR) images, so that surface metal targets can be identified successfully.
Lihong Qiao, Yao Qin, Xiaozhen Ren, Qifu Wang   +3 more
doaj   +1 more source

Development of Condition Assessment Index of Ballast Track Using Ground-Penetrating Radar (GPR). [PDF]

Sensors (Basel), 2021
Birhane FN, Choi YT, Lee SJ.
europepmc   +1 more source

Temporal Monitoring of the Soil Freeze-Thaw Cycles over a Snow-Covered Surface by Using Air-Launched Ground-Penetrating Radar

Remote Sensing, 2015
We tested an off-ground ground-penetrating radar (GPR) system at a fixed location over a bare agricultural field to monitor the soil freeze-thaw cycles over a snow-covered surface.
Khan Zaib Jadoon, Lutz Weihermüller, Matthew F. McCabe, Davood Moghadas, Harry Vereecken, Sebastíen Lambot   +5 more
doaj   +1 more source

A Review of Ground Penetrating Radar Antenna Design and Optimization

Journal of Microwaves, Optoelectronics and Electromagnetic Applications
Ground Penetrating Radar is a complex nondestructive evaluation technique where the antenna is the most critical part. The antenna is responsible for transmission and reception of waves at the proper level and frequencies defined in the GPR system ...
X. L. Travassos, S. L. Avila, R. L. da S. Adriano, N. Ida   +3 more
doaj   +1 more source

Delineation of Agricultural Drainage Pipe Patterns Using Ground Penetrating Radar Integrated with a Real-Time Kinematic Global Navigation Satellite System

Agriculture, 2018
Better methods are needed for mapping agricultural drainage pipe systems. Prior research on small test plots indicates that ground penetrating radar (GPR) is oftentimes capable of detecting buried drainage pipes; however, the feasibility of employing ...
Barry Allred, DeBonne Wishart, Luis Martinez, Harry Schomberg, Steven Mirsky, George Meyers, John Elliott, Christine Charyton   +7 more
doaj   +1 more source

Deep learning-based segmentation and detection of tunnel lining defects and components from GPR images using T-GPRMask

Underground Space
Ground penetrating radar (GPR) has been extensively applied in tunnel engineering for the non-destructive assessment of lining structures. However, the interpretation of GPR images remains a time-consuming and expertise-dependent task.
Jiahao Li, Hehua Zhu, Mei Yin
doaj   +1 more source

GPR Signal Processing with Geography Adaptive Scanning using Vector Radar for Antipersonal Landmine Detection

International Journal of Advanced Robotic Systems, 2008
Ground Penetrating Radar (GPR) is a promising sensor for landmine detection, however there are two major problems to overcome. One is the rough ground surface. The other problem is the distance between the antennas of GPR. It remains irremovable clutters
Shinsuke Sato, Zakarya Zyada, Takayuki Matsuno, Yasuhiro Kawai, Yasuhisa Hasegawa, Toshio Fukuda   +5 more
doaj  

Detection of Tree Roots in an Urban Area with the Use of Ground Penetrating Radar

Transport and Telecommunication, 2016
The paper is devoted to using ground penetrating radar (GPR) for the detection of tree roots in an urban area, since GPR allow detect the hidden objects in non invasive way. It is necessary exactly to know the growth direction, thickness and depth of the
Krainyukov Alexander, Lyaksa Igor
doaj   +1 more source

Weather-Resilient Localizing Ground-Penetrating Radar via Adaptive Spatio-Temporal Mask Alignment

Remote Sensing
Localizing ground-penetrating radar (LGPR) benefits from deep subsurface coupling, ensuring robustness against surface variations and adverse weather.
Yuwei Chen, Beizhen Bi, Pengyu Zhang, Liang Shen, Chaojian Chen, Xiaotao Huang, Tian Jin   +6 more
doaj   +1 more source

GPRlab: A ground penetrating radar data processing and analysis software based on MATLAB

SoftwareX
Ground penetrating radar (GPR) is widely used in many fields, but its data processing is limited by proprietary software and interdisciplinary knowledge.
Hongqiang Xiong, Zhiyu Zhang, Jing Li
doaj   +1 more source