Centre de documentation
scientifique

Height uncertainty in digital terrain modelling with unmanned aircraft systems / Stig-Göran Mårtensson in Survey review, vol 49 n° 355 (October 2017)  

Public [article]  inSurvey review > vol 49 n° 355 (October 2017) . - pp 312 - 318 Titre : Height uncertainty in digital terrain modelling with unmanned aircraft systems Type de document : Article/Communication Auteurs : Stig-Göran Mårtensson, Auteur ; Yuriy Reshetyuk, Auteur Année de publication : 2017 Article en page(s) : pp 312 - 318 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques [Termes IGN] Agisoft Photoscan [Termes IGN] altitude [Termes IGN] drone [Termes IGN] incertitude géométrique [Termes IGN] modèle numérique de surface [Termes IGN] modèle numérique de terrain [Termes IGN] surface imperméable Résumé : (Auteur) The purpose of this paper is to investigate the height uncertainty of digital terrain models (DTMs) generated from unmanned aircraft system (UAS) surveys over different surface types – asphalt, gravel and grass. The data used in the study was acquired during two UAS flights performed in spring 2014 with a fixed wing aircraft and two different cameras, from the flying height of about 100 m, and it was processed in different software suites – Agisoft PhotoScan, RapidStation and RapidTerrain. The results show that it is possible to achieve the height uncertainty (expressed as a Root Mean Square Error) in a DTM of below 0.02 m on asphalt surfaces and below 0.04 m on gravel and grass surfaces, provided an overcast sky. Numéro de notice : A2017-554 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1080/00396265.2016.1180754 En ligne : http://dx.doi.org/10.1080/00396265.2016.1180754 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=86615 [article]

Generation of highly accurate digital elevation models with unmanned aerial vehicles / Yuriy Reshetyuk in Photogrammetric record, vol 31 n° 154 (June - August 2016)  

Public [article]  inPhotogrammetric record > vol 31 n° 154 (June - August 2016) . - pp 143-165 Titre : Generation of highly accurate digital elevation models with unmanned aerial vehicles Type de document : Article/Communication Auteurs : Yuriy Reshetyuk, Auteur ; Stig-Göran Mårtensson, Auteur Année de publication : 2016 Article en page(s) : pp 143-165 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques [Termes IGN] acquisition de données [Termes IGN] Agisoft Photoscan [Termes IGN] altimétrie [Termes IGN] drone [Termes IGN] incertitude de mesurage [Termes IGN] logiciel de photogrammétrie [Termes IGN] modèle numérique de surface Résumé : (auteur) In order to investigate the possibilities for the generation of digital elevation models with a height uncertainty of 20 mm or less using unmanned aerial vehicles, a survey with a fixed-wing aircraft was carried out over a gravel quarry in Gävle, Sweden. At flying heights of about 80 and 160 m, the resulting imagery had ground sample distances of 24 and 50 mm, respectively. The data was processed in two different software suites – computer-vision-based PhotoScan and photogrammetric RapidStation/RapidTerrain. The results show that PhotoScan was more effective in flat terrain, with height uncertainties of 10 and 17 mm compared with 30 to 40 mm for RapidTerrain, whereas the latter had a clear advantage over undulating terrain. Numéro de notice : A2016-466 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1111/phor.12143 Date de publication en ligne : 17/06/2016 En ligne : https://doi.org/10.1111/phor.12143 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81471 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
106-2016021	RAB	Revue	Centre de documentation	En réserve L003	Disponible