Results 171 to 180 of about 2,389 (219)

A data-driven approach for risk assessment and material identification of buried objects using microwave measurements and neural networks. [PDF]

Sci Rep
Yarımay G, Bayat İH, Doğu S, Akduman İ.   +3 more
europepmc   +1 more source

Millimeter accuracy depth estimation in concrete using smartphone-equipped handheld GPR and hyperbolic curve fitting with antenna distance consideration. [PDF]

Heliyon
Iwai S, Mizutani T.
europepmc   +1 more source

Contactless Monitoring System Versus Gold Standard for Respiratory Rate Monitoring in Emergency Department Patients: Pilot Comparison Study. [PDF]

JMIR Form Res
Goldfine CE, Oshim MFT, Chapman BP, Ganesan D, Rahman T, Carreiro SP.   +5 more
europepmc   +1 more source

Integrated Building Modelling Using Geomatics and GPR Techniques for Cultural Heritage Preservation: A Case Study of the Charles V Pavilion in Seville (Spain). [PDF]

J Imaging
Zaragoza M, Bayarri V, García F.
europepmc   +1 more source

Effect of ultrasonic treatment on the oral processing characteristics of Mianning ham. [PDF]

Front Nutr
He J, Wang W, Hao M, Huang Y, CHen L.
europepmc   +1 more source

Handheld Ground-Penetrating Radar Antenna Position Estimation Using Factor Graphs. [PDF]

Sensors (Basel)
Słowak P, Kraszewski T, Kaniewski P.
europepmc   +1 more source

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GPR radargrams analysis through machine learning approach

Journal of Electromagnetic Waves and Applications, 2021
This work proposes a Machine Learning (ML) approach for the analysis and classification of Ground Penetrating Radar (GPR) given a limited number of B-scan images.
Francesca Ponti, Fabrizio Frezza, Fabio Mangini   +2 more
exaly   +2 more sources

Super-Resolution of Radargrams With a Generative Deep Learning Model

IEEE Transactions on Geoscience and Remote Sensing
Radar sounder (RS) profiles are essential for imaging the subsurface of planetary bodies and the Earth as they provide valuable geological insights. However, the limited availability of high-resolution radargrams poses challenges. This article proposes a novel method based on generative models to super-resolve radargrams. Our approach addresses the ill-
Elena Donini, Lorenzo Bruzzone, Francesca Bovolo   +2 more
exaly   +4 more sources

TSSA: Two-Step Semi-Supervised Annotation for Radargrams on the Greenland Ice Sheet

IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, 2023
IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, 16-21 July 2023, Pasadena, CA ...
Atefeh Jebeli, Bayu Adhi Tama, Vandana P. Janeja, Nicholas Holschuh, Claire Jensen, Mathieu Morlighem, Joseph A. MacGregor, Mark A. Fahnestock   +7 more
exaly   +2 more sources