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2022 45th International Conference on Telecommunications and Signal Processing, TSP 20222022, Pages 45-4845th International Conference on Telecommunications and Signal Processing, TSP 2022; Virtual, Online; Czech Republic; 13 July 2022 through 15 July 2022; Category numberCFP2288P-ART; Code 182157

Analysis of hyperbolic reflections amplitudes in GPR data(Conference Paper)

  • Bugarinovic, Z.,
  • Ristic, A.,
  • Vrtunski, M.,
  • Govedarica, M.
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  • University of Novi Sad, Faculty of Technical Sciences, Department for Computing and Control Engineering, Novi Sad, Serbia

Abstract

In this paper an analysis of the amplitude of the reflected signal in extracted points on hyperbolic reflections from radargram is presented. Currently, many papers deal with the automated search for hyperbola peak in radargram. On the other hand, according to the authors' best knowledge, there is an insufficient number of papers related to the extraction of points on hyperbolas prongs, even though they can be used to determine additional information, such as the radius of detected pipe or cable. In the first part of this paper a procedure for extraction of coordinates of points on hyperbolic reflections prongs. Second part of the paper contains more detailed analysis of the value of the reflected signal of extracted points in relation to different values of acquisition parameters. This analysis has two goals: (1) to conclude which parameter has the biggest influence to amplitude and (2) to determine whether an amplitude based stopping criteria for point extraction can be established. © 2022 IEEE.

Author keywords

amplitudeautomated points extractionGPRhyperbolic reflectionsradargram

Indexed keywords

Engineering controlled terms:ExtractionGeological surveysGeophysical prospecting
Engineering uncontrolled termsAcquisition parametersAmplitudeAutomated point extractionAutomated searchesHyperbolic reflectionPoint extractionRadargramsReflected signalReflection amplitudeStopping criterion
Engineering main heading:Ground penetrating radar systems
  • ISBN: 978-166546948-7
  • Source Type: Conference Proceeding
  • Original language: English
  • DOI: 10.1109/TSP55681.2022.9851246
  • Document Type: Conference Paper
  • Volume Editors: Herencsar N.
  • Publisher: Institute of Electrical and Electronics Engineers Inc.


© Copyright 2022 Elsevier B.V., All rights reserved.

Cited by 1 document

Bugarinović, Z. , Gavrilović, M. , Ristić, A.
Detection of Hyperbolic Reflections on Real GPR Data Using YOLO Model Trained with Synthetic Data
(2024) 2024 47th International Conference on Telecommunications and Signal Processing, TSP 2024
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