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Fusion of ground penetrating radar and laser scanning for infrastructure mapping / Dominik Merkle in Journal of applied geodesy, vol 15 n° 1 (January 2021)  

Public [article]  inJournal of applied geodesy > vol 15 n° 1 (January 2021) . - pp 31 - 45 Titre : Fusion of ground penetrating radar and laser scanning for infrastructure mapping Type de document : Article/Communication Auteurs : Dominik Merkle, Auteur ; Carsten Frey, Auteur ; Alexander Reiterer, Auteur Année de publication : 2021 Article en page(s) : pp 31 - 45 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques [Termes IGN] base de données localisées 3D [Termes IGN] données lidar [Termes IGN] espace de Hilbert [Termes IGN] lasergrammétrie [Termes IGN] lever souterrain [Termes IGN] radar pénétrant GPR [Termes IGN] radargrammétrie [Termes IGN] réseau technique souterrain [Termes IGN] semis de points [Termes IGN] sous-sol [Termes IGN] surface du sol [Termes IGN] système de numérisation mobile Résumé : (auteur) Mobile mapping vehicles, equipped with cameras, laser scanners (in this paper referred to as light detection and ranging, LiDAR), and positioning systems are limited to acquiring surface data. However, in this paper, a method to fuse both LiDAR and 3D ground penetrating radar (GPR) data into consistent georeferenced point clouds is presented, allowing imaging both the surface and subsurface. Objects such as pipes, cables, and wall structures are made visible as point clouds by thresholding the GPR signal’s Hilbert envelope. The results are verified with existing utility maps. Varying soil conditions, clutter, and noise complicate a fully automatized approach. Topographic correction of the GPR data, by using the LiDAR data, ensures a consistent ground height. Moreover, this work shows that the LiDAR point cloud, as a reference, increases the interpretability of GPR data and allows measuring distances between above ground and subsurface structures. Numéro de notice : A2021-044 Affiliation des auteurs : non IGN Thématique : IMAGERIE/POSITIONNEMENT Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1515/jag-2020-0004 Date de publication en ligne : 06/11/2020 En ligne : https://doi.org/10.1515/jag-2020-0004 Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96771 [article]

Modeling atmospheric refraction influences by optical turbulences using an image-assisted total station / Alexander Reiterer in ZFV, Zeitschrift für Geodäsie, Geoinformation und Landmanagement, vol 137 n° 3 (01/06/2012)

Public [article]  inZFV, Zeitschrift für Geodäsie, Geoinformation und Landmanagement > vol 137 n° 3 (01/06/2012) . - pp 156 - 165 Titre : Modeling atmospheric refraction influences by optical turbulences using an image-assisted total station Type de document : Article/Communication Auteurs : Alexander Reiterer, Auteur Année de publication : 2012 Article en page(s) : pp 156 - 165 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Topographie [Termes IGN] instrument d'optique [Termes IGN] modèle atmosphérique [Termes IGN] propagation du signal [Termes IGN] réfraction atmosphérique [Termes IGN] tachéomètre électronique [Termes IGN] turbulence Résumé : (Auteur) A large part of geodetic sensor systems use electromagnetic radiation to determine the measurement values (distances, directions, etc.). The geometry of the path of propagation and the velocity of the electromagnetic wave is strongly influenced by the physical state of the atmosphere. As most geodetic measurements are performed in the lower atmosphere, the study of refraction and of corresponding impact constitutes a key research field. In geodesy, the refractive index represents a common way to describe the terrestrial refraction - the literature refers to different methods for determining this value. Our study presents a method for the determination of the influence of refraction on the basis of optical measurements. The mathematical derivation is based on well-known equations - the combination of different approaches leads to a uniform processing sequence which can easily be implemented. We present the theoretical foundations, details about the implementation and some preliminary tests. Numéro de notice : A2012-268 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31714 [article]

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