Please use this identifier to cite or link to this item: https://open.uns.ac.rs/handle/123456789/3073
Title: Automated data extraction from synthetic and real radargrams of district heating pipelines
Authors: Ristić, Aleksandar 
Vrtunski, Milan 
Govedarica, Miro 
Pajewski L.
Derobert X.
Issue Date: 28-Jul-2017
Journal: 2017 9th International Workshop on Advanced Ground Penetrating Radar, IWAGPR 2017 - Proceedings
Abstract: © 2017 IEEE. The main goal of this paper is to investigate the performance of an algorithm for point extraction from hyperbolic reflections in synthetic and real Ground-Penetrating Radar (GPR) data. The real radargrams that we considered contain hyperbolic reflections due to the presence, in the surveyed area, of district heating pipelines DN250 (250mm inner diameter pipe). These are buried 88 cm deep in a soil trench, and covered by compacted sand and concrete bricks (behaton pavement). The synthetic radargrams result from the simulation of a model representing the real geometry on the location of interest. The simulation was carried out by using gprMax, ver. 3.
URI: https://open.uns.ac.rs/handle/123456789/3073
ISBN: 9781509054848
DOI: 10.1109/IWAGPR.2017.7996046
Appears in Collections:FTN Publikacije/Publications

Show full item record

SCOPUSTM   
Citations

10
checked on May 3, 2024

Page view(s)

28
Last Week
9
Last month
6
checked on May 10, 2024

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.