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Monitoring of a laboratory-scale inland-delta formation using a structured-light system / Devrim Akca in Photogrammetric record, vol 31 n° 154 (June - August 2016)  

Public [article]  inPhotogrammetric record > vol 31 n° 154 (June - August 2016) . - pp 121 - 142 Titre : Monitoring of a laboratory-scale inland-delta formation using a structured-light system Type de document : Article/Communication Auteurs : Devrim Akca, Auteur ; Hansjörg Seybold, Auteur Année de publication : 2016 Article en page(s) : pp 121 - 142 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques [Termes IGN] analyse comparative [Termes IGN] analyse diachronique [Termes IGN] Botswana [Termes IGN] données spatiotemporelles [Termes IGN] érosion hydrique [Termes IGN] géomorphologie [Termes IGN] modèle numérique de terrain [Termes IGN] pente [Termes IGN] sédimentation [Termes IGN] surveillance géologique Résumé : (auteur) A reduced complexity model, which simulates the process of fluvial inland-delta formation, has been developed in a previous study. The results have been compared and validated with a laboratory experiment. This work elaborates the laboratory investigation in which an experimental inland delta is generated and its eroding topography is measured using a structured-light 3D scanner. The least squares 3D (LS3D) co-registration and comparison method is used for alignment as well as for comparing data epochs both spatially and temporally. A spatial precision value of around ±50 μm (1/20 000) is achieved. A series of high-quality digital elevation models (DEMs) are generated and the space-time evolution of the inland delta is monitored and analysed, in terms of slope and topography dynamics, in the consecutive DEM layers. The combination of high-resolution scanning together with high-precision co-registration techniques allows investigation of the details of the space-time variability of the sedimentation-deposition patterns to be used for geomorphological analysis. Numéro de notice : A2016-465 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1111/phor.12149 Date de publication en ligne : 17/06/2016 En ligne : https://doi.org/10.1111/phor.12149 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81470 [article]

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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]

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A multi-scale plane-detection method based on the Hough transform and region growing / Xiaoxu Leng in Photogrammetric record, vol 31 n° 154 (June - August 2016)  

Public [article]  inPhotogrammetric record > vol 31 n° 154 (June - August 2016) . - pp 166 - 192 Titre : A multi-scale plane-detection method based on the Hough transform and region growing Type de document : Article/Communication Auteurs : Xiaoxu Leng, Auteur ; Jun Xiao, Auteur ; Ying Wang, Auteur Année de publication : 2016 Article en page(s) : pp 166 - 192 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] détection automatique [Termes IGN] modélisation 3D [Termes IGN] segmentation [Termes IGN] semis de points [Termes IGN] traitement d'image [Termes IGN] transformation de Hough Résumé : (auteur) The detection of planes from 3D point clouds plays an important role in fields such as 3D modelling, rock mechanics, registration and robotics. A multi-scale plane-detection method is proposed, based on extracting growth units using the Hough transform and subsequent region growing into actual plane boundaries. Because the approximate geometric features of the original plane area can be obtained from the growth units, discriminant conditions for adaptive plane growing could be provided for the growing stage. In order to detect physical planes at different scales, a strategy of multi-scale normal estimation is introduced. Simulated icosahedron point clouds, together with actual engineering point clouds, were used to test the performance of the proposed method. Experimental results show that planar point clouds could be detected effectively, especially with rock-mass engineering applications. Numéro de notice : A2016-467 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1111/phor.12145 Date de publication en ligne : 17/06/2016 En ligne : https://doi.org/10.1111/phor.12145 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81473 [article]

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Comparison of quality measures for building outline extraction / Markéta Potůčková in Photogrammetric record, vol 31 n° 154 (June - August 2016)  

Public [article]  inPhotogrammetric record > vol 31 n° 154 (June - August 2016) . - pp 193 - 209 Titre : Comparison of quality measures for building outline extraction Type de document : Article/Communication Auteurs : Markéta Potůčková, Auteur ; Peter Hofman, Auteur Année de publication : 2016 Article en page(s) : pp 193 - 209 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie [Termes IGN] détection automatique [Termes IGN] détection du bâti [Termes IGN] données lidar [Termes IGN] estimation de précision [Termes IGN] lasergrammétrie [Termes IGN] qualité des données Résumé : (auteur) To date, numerous automatic building detection methods using lidar data have been developed. However, in most cases the parameters used for the evaluation of the results are not specified, accuracy assessment results cannot be readily compared or no result evaluation is performed at all. In this study, accuracy assessment aspects have been analysed in order to find a generally applicable approach for the comparison of building outline extraction methods. An area-based evaluation of accuracy has been selected as the most suitable due to its robustness, predictability and comparability between datasets. This assessment can be further supplemented with both object- and area-based evaluations, procured solely with those buildings that were classified as true positives, in order to interpret the extraction results in more detail. In cases where a reference dataset of superior quality (such as low-altitude aerial imagery) is available, an absolute accuracy evaluation is also relevant. Numéro de notice : A2016-468 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1111/phor.12144 Date de publication en ligne : 17/06/2016 En ligne : https://doi.org/10.1111/phor.12144 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81474 [article]

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