Skip to main content
2024 47th International Conference on Telecommunications and Signal Processing (TSP)

Full Program »

WS1: 4th International Workshop on Signal Processing Techniques for Ground Penetrating Radar Applications

Wednesday, 10 July 2024
15:00 - 16:30

Virtu

ORGANIZERS
PUBLICITY CHAIR
ABSTRACT

Over the past decades, the Ground Penetrating Radar (GPR) technology has seen tremendous progress in a wide range of applications including, the development of new algorithms for data processing and interpretation. GPR applications are numerous and currently include, sedimentology, ground-water contamination, glaciology, archaeology and cultural-heritage management, civil and geotechnical engineering, highway and transport infrastructure, forestry, planetary exploration, demining, amongst others. Wide applicability of GPR together with the recent advancements within the field, has made the GPR technology an area of endeavour with high reliability and trust. The integration of GPR with established and emerging ground-based sensing technologies and Earth Observation methods is also gaining momentum nowadays. Within the framework of the 2024 47th International Conference on Telecommunications and Signal Processing (TSP) held virtually during July 10-12, 2024, the main scopes of this Workshop are to encourage the publication of vanguard and pioneering research-based investigations and provide ample opportunity for further discussions in areas of high interest for GPR signal processing techniques and applications. Hence, papers with a focus on advanced GPR signal processing techniques in areas including, but not limited to, the civil and environmental engineering, geology, archaeology, cultural-heritage and forestry management are encouraged. The followings are the areas of interest and priority for this workshop:

KEYWORDS

GPR, resampling, deconvolution, band-pass filtering, SNR enhancement, EM noise, attenuation analysis, attribute analysis, migration, AI and ML processing, immersive technologies, data fusion and integration processing.


Detection of Hyperbolic Reflections on Real GPR Data using YOLO Model Trained with Synthetic Data
Željko Bugarinović, Faculty of Technical Sciences, University of Novi Sad, Serbia
Milan Gavrilović, Faculty of Technical Sciences, University of Novi Sad, Serbia
Aleksandar Ristić, Faculty of Technical Sciences, University of Novi Sad, Serbia
Milka Šarkanović Bugarinović, Faculty of Technical Sciences, University of Novi Sad, Serbia
Aleksandra Radulović, Faculty of Technical Sciences, University of Novi Sad, Serbia
Miro Govedarica, Faculty of Technical Sciences, University of Novi Sad, Serbia
AI aided GPR data multipath summation using x-t stacking weights
Nikos Economou, TECHNICAL UNIVERSITY OF CRETE, Greece
Sobhi Nasir, Sultan Qaboos University, Oman
Said Al Abri, Sultan Qaboos University, Oman
Bader Al Shaqsi, Sultan Qaboos University, Oman
Hamdan Hamdan, Sharjah University, Petroleum Geosciences and Remote Sensing Program, United Arab Emirates
Combining Image Restoration with Deep Detectors for Improved Target Detection in GPR
Yavuz Emre Kayacan, Beykent University, Turkey
Kaan Ozdogan, Istanbul Technical University, Turkey
Mehmet Utku Colak, Istanbul Technical University, Turkey
Ozge Aydin, Istanbul Technical University, Turkey
Ahmet Enes Turan, Istanbul Technical University, Turkey
Isin Erer, Istanbul Technical University, Turkey
Autoencoder Guided Low-Rank Approximation Approach for Clutter Removal in GPR Images
Yavuz Emre Kayacan, Beykent University / Istanbul Technical Univetsity, Turkey
Isin Erer, Istanbul Technical University, Turkey

 

Privacy Policy

Powered by OpenConf®
Copyright ©2002-2024 Zakon Group LLC