Integration of modern remote sensing technologies for faster utility mapping and data extraction

Ristić, Aleksandar; Bugarinović, Željko; Vrtunski, Milan; Govedarica, Miro; Petrovački, Dušan

doi:10.1016/j.conbuildmat.2017.07.030

Cited by 9 publications

(7 citation statements)

References 24 publications

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“…In these situations, it is necessary to find a way to obtain the correct data without digging in the field, in the case of underground utilities. As a solution for underground utilities, a ground penetrating radar (GPR) combined with an electromagnetic locator can be used [18]. When the GPR device moves above the surface, the transmitting antenna sends polarized, high frequency electromagnetic (EM) waves into the ground.…”

Section: Discussionmentioning

confidence: 99%

“…There have been several research projects undertaken on the utility network for the purpose of the utility network cadaster, including the use of ground penetrating radar for surveying optical and other sub-surface networks [18], and the use of LIDAR (LIght Detection And Ranging) for surveying electric power utility networks [19]. The 2D utility data have been derived from 3D data obtained in previous projects [18,19] in order to fit to the prevailing 2D paradigm. However, this has raised the question of how this 3D data can be preserved and used in a utility network cadastre.…”

Section: Introductionmentioning

confidence: 99%

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LADM Based Utility Network Cadastre in Serbia

Radulović

Sladić

Govedarica

et al. 2019

IJGI

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The utility network cadastre in Serbia is the main register of utility lines and the rights to them. The Law on State Survey and Cadastre states the necessity for implementing a unified information system of both a real estate and utility network cadastre, but this has not been achieved in practice. The reasons for such a unified information system are to ensure easier maintenance of the rights of both the utilities and properties located above or below them, to ensure more efficient procedures for obtaining the consent for placement, repair, or removal of the utility line, to prevent procedures being executed based on outdated data, to build an information system as the law prescribes, and to facilitate the business processes in the Serbian geodetic authority, since it is responsible for both registers. Therefore, an already-developed LADM (Land Administration Domain Model)-based country profile for Serbia should be extended to include information from the utility network cadastre. An analysis of Serbian legislation showed the necessity of extending the class set of the utility network cadastre by further specialization of the LADM LA_LegalSpaceUtilityNetwork class. Furthermore, such a system will support the maintenance of utility network data. In practice, when there is a change made on utility lines by the right holders, it is necessary to implement the change in the register. In many situations, this is not done, and the actual state does not correspond to the one in the register. Usually, modern technologies, such as ground penetrating radar (GPR) and LIDAR, are used for data acquisition in order to provide an update of the utility network data. Since these technologies produce 3D data, we analyzed how to link that data to the traditional 2D spatial paradigm.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

LADM Based Utility Network Cadastre in Serbia

Radulović

Sladić

Govedarica

et al. 2019

IJGI

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“…APEX (automated point extraction from radargrams) was recently developed with the primary objective of automatically detecting hyperbolic signatures in radargrams [14,[31][32][33].…”

Section: Automated Point Extraction From Radargrams (Apex) Algorithmmentioning

confidence: 99%

“…In previous papers [31][32][33][34], APEX was successfully tested on synthetic and experimental radargrams obtained by using antennas with 200-MHz, 400-MHz and 900-MHz central frequencies. The performed tests showed that the algorithm works very well at different frequencies and also that, with minor modifications, it can be applied to radargrams containing reflections from non-cylindrical objects, such as a concrete channel; furthermore, the algorithm is time efficient and worth developing further for real-time applications.…”

Section: Automated Point Extraction From Radargrams (Apex) Algorithmmentioning

confidence: 99%

“…The recently-proposed algorithm APEX (automated point extraction from radargrams) [14] is capable of finding the coordinates of hyperbola apices and extract the points on hyperbola prongs; it is based on the use of a cascade object detector (COD) to identify segments of interest that contain hyperbolic reflections and on a simple but smart procedure for the local search of apices. APEX has been successfully tested on synthetic data and experimental data recorded in complex urban environments during real GPR utility surveys [31][32][33]. A comparative analysis of APEX and SPOT-GPR is presented in [34].…”

Section: Introductionmentioning

confidence: 99%

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On the Introduction of Canny Operator in an Advanced Imaging Algorithm for Real-Time Detection of Hyperbolas in Ground-Penetrating Radar Data

et al. 2020

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This paper focuses on the use of the Canny edge detector as the first step of an advanced imaging algorithm for automated detection of hyperbolic reflections in ground-penetrating radar (GPR) data. Since the imaging algorithm aims to work in real time; particular attention is paid to its computational efficiency. Various alternative criteria are designed and examined, to fasten the procedure by eliminating unnecessary edge pixels from Canny-processed data, before such data go through the subsequent steps of the detection algorithm. The effectiveness and reliability of the proposed methodology are tested on a wide set of synthetic and experimental radargrams with promising results. The finite-difference time-domain simulator gprMax is used to generate synthetic radargrams for the tests, while the real radargrams come from GPR surveys carried out by the authors in urban areas. The imaging algorithm is implemented in MATLAB.

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