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Torch-Points3D: A modular multi-task framework for reproducible deep learning on 3D point clouds / Thomas Chaton (2020)
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Titre : Torch-Points3D: A modular multi-task framework for reproducible deep learning on 3D point clouds Type de document : Article/Communication Auteurs : Thomas Chaton, Auteur ; Nicolas Chaulet, Auteur ; Sofiane Horache, Auteur ; Loïc Landrieu , Auteur
Editeur : New York : Institute of Electrical and Electronics Engineers IEEE Année de publication : 2020 Projets : AI4GEO / Conférence : 3DV 2020, International Conference on 3D Vision 25/11/2020 27/11/2020 Fukuoka + en ligne Japon Proceedings IEEE Importance : 12 p. - n° 282 Format : 21 x 30 cm Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Informatique
[Termes IGN] apprentissage profond
[Termes IGN] cadre conceptuel
[Termes IGN] code source libre
[Termes IGN] données localisées 3D
[Termes IGN] reproductibilité
[Termes IGN] réseau neuronal profond
[Termes IGN] semis de pointsRésumé : (auteur) We introduce Torch-Points3D, an open-source framework designed to facilitate the use of deep networks on 3D data. Its modular design, efficient implementation, and user-friendly interfaces make it a relevant tool for research and productization alike. Beyond multiple quality-of-life features, our goal is to standardize a higher level of transparency and reproducibility in 3D deep learning research, and to lower its barrier to entry. In this paper, we present the design principles of Torch-Points3D, as well as extensive benchmarks of multiple state-of-the-art algorithms and inference schemes across several datasets and tasks. The modularity of Torch-Points3D allows us to design fair and rigorous experimental protocols in which all methods are evaluated in the same conditions. The Torch-Points3D repository : https://github.com/nicolas-chaulet/torch-points3d. Numéro de notice : C2020-019 Affiliation des auteurs : UGE-LASTIG+Ext (2020- ) Autre URL associée : vers HAL Thématique : IMAGERIE/INFORMATIQUE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.1109/3DV50981.2020.00029 Date de publication en ligne : 19/01/2021 En ligne : https://doi.org/10.1109/3DV50981.2020.00029 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96456 Traiter, afficher et animer des données vectorielles temporelles avec QGis 3.14 et PostGIS / Anonyme in Géomatique expert, n° 132-133 (janvier - septembre 2020)
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Titre : Traiter, afficher et animer des données vectorielles temporelles avec QGis 3.14 et PostGIS Type de document : Article/Communication Auteurs : Anonyme, Auteur Année de publication : 2020 Article en page(s) : pp 30 - 37 Langues : Français (fre) Descripteur : [Vedettes matières IGN] Systèmes d'information géographique
[Termes IGN] données vectorielles
[Termes IGN] PostGIS
[Termes IGN] QGISNuméro de notice : A2020-861 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99183
in Géomatique expert > n° 132-133 (janvier - septembre 2020) . - pp 30 - 37[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 265-2020011 RAB Revue Centre de documentation En réserve L003 Disponible IFN-001-P002238 PER Revue Nogent-sur-Vernisson Salle périodiques Exclu du prêt
[article]
Titre : Utilisation de PostGIS raster Type de document : Article/Communication Auteurs : Anonyme, Auteur Année de publication : 2020 Article en page(s) : pp 18 - 28 Langues : Français (fre) Descripteur : [Vedettes matières IGN] Systèmes d'information géographique
[Termes IGN] données maillées
[Termes IGN] PostGISNuméro de notice : A2020-860 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99182
in Géomatique expert > n° 132-133 (janvier - septembre 2020) . - pp 18 - 28[article]Réservation
Réserver ce documentExemplaires(2)
Code-barres Cote Support Localisation Section Disponibilité 265-2020011 RAB Revue Centre de documentation En réserve L003 Disponible IFN-001-P002238 PER Revue Nogent-sur-Vernisson Salle périodiques Exclu du prêt Validation and verification procedures for defining legal 3D boundaries using terrestrial laser scanners / Sam Rondeel in Survey review, Vol 52 n°370 (January 2020)
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Titre : Validation and verification procedures for defining legal 3D boundaries using terrestrial laser scanners Type de document : Article/Communication Auteurs : Sam Rondeel, Auteur ; Michael Barry, Auteur ; Derek D. Lichti, Auteur Année de publication : 2020 Article en page(s) : pp 69 - 75 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] délimitation de frontière
[Termes IGN] données localisées 3D
[Termes IGN] données TLS (télémétrie)
[Termes IGN] étalonnage de capteur (imagerie)
[Termes IGN] géomètre
[Termes IGN] instrument de mesure
[Termes IGN] semis de points
[Termes IGN] tachéomètre électronique
[Termes IGN] topographieRésumé : (auteur) A gap exists in law and practice with respect to calibrating terrestrial laser scanners (TLS) for legal boundary surveying. Laws, calibration infrastructure and calibration procedures have long existed for electronic distance measurement units used for boundary surveys, but laser scanners present new challenges. The aim of this paper is to present a practical, inexpensive procedure for validating laser scanner calibration and for verifying surface information extracted from terrestrial laser scanner data. The methodology verifies the TLS calibration parameters and extracted surfaces using total station measurements. The results indicate that total stations and TLS are complimentary tools and should both be used where complicated 3D boundaries exist. Numéro de notice : A2020-026 Affiliation des auteurs : non IGN Thématique : IMAGERIE/POSITIONNEMENT Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/00396265.2018.1518800 Date de publication en ligne : 08/09/2018 En ligne : https://doi.org/10.1080/00396265.2018.1518800 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=94474
in Survey review > Vol 52 n°370 (January 2020) . - pp 69 - 75[article]A versatile and efficient data fusion methodology for heterogeneous airborne LiDAR and optical imagery data acquired under unconstrained conditions / Thanh Huy Nguyen (2020)
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Titre : A versatile and efficient data fusion methodology for heterogeneous airborne LiDAR and optical imagery data acquired under unconstrained conditions Type de document : Thèse/HDR Auteurs : Thanh Huy Nguyen, Auteur ; Jean-Marc Le Caillec, Directeur de thèse ; Sylvie Daniel, Directeur de thèse Editeur : Institut Mines-Télécom Atlantique IMT Atlantique Année de publication : 2020 Autre Editeur : Québec : Université Laval Importance : 173 p. Format : 21 x 30 cm Note générale : Bibliographie
Thèse de Doctorat de l'Ecole Nationale Supérieure des Mines-Telecom Atlantique Bretagne Pays de la Loire-IMT Atlantique, Spécialité : Signal, Image, VisionLangues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] détection du bâti
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] fusion de données
[Termes IGN] image optique
[Termes IGN] recalage de données localisées
[Termes IGN] reconstruction 3D
[Termes IGN] scène urbaine
[Termes IGN] semis de pointsIndex. décimale : THESE Thèses et HDR Résumé : (auteur) The necessity and importance of representing a scene in 3-D have been exemplified through numerous remote sensing applications, such as urban planning, disaster management, etc. In these applications, LiDAR and optical imagery data have been used extensively. A complementarity existing between airborne LiDAR and aerial/satellite optical imagery datasets motivates the fusion between them, allowing to represent the observed scenes in 3-D with a better precision and completeness. In recent years, automatic building footprint extraction in urban and residential scenes has become a subject of growing interest among the field of 3-D scene representation and reconstruction. With the rising availability of massive amount of data captured by different LiDAR and imagery sensors onboard airborne and spaceborne platforms, new opportunities arise to perform this task on a large scale. However, existing fusion methods generally consider either hybrid acquisition systems consisting of LiDAR and optical cameras rigidly fixed, or datasets acquired from the same platform at identical or very close dates, and having the same spatial resolution. They do not intend to cope with datasets collected from different platforms with different acquisition configuration at different moments, having different spatial resolutions and levels of detail. Such a context is referred to as unconstrained acquisition context. Furthermore, extracting buildings on a large scale is a complex task. Existing methods reported over the years have achieved relatively significant results by assuming building shapes, enforcing geometrical constraints, or limiting on specific urban areas. Such assumptions are no longer applicable when dealing with large-scale datasets. This research work is devoted to the development of a versatile coarse-to-fine registration method between airborne LiDAR and aerial/satellite optical imagery datasets collected in an unsconstrained acquisition context. It aims at overcoming the challenges associated with this context such as the spatial shift between the datasets, the differences of spatial resolution and level of detail, etc. In addition, this research work elaborates an efficient building footprint extraction method, providing a high accuracy level while being an unsupervised method dedicated to largescale applications. The proposed method, called Super-Resolution-based Snake Model (SRSM), consists in an adaptation of snake models—a conventional image segmentation technique—to operate on high-resolution LiDAR-based elevation images generated by a super-resolution process. It pertains the unconstrained data acquisition context, serving as a prime application example. Relevant results have been achieved when rigorously assessing the proposed methods, namely a highly desirable accuracy level compared to existing methods. Note de contenu : Introduction
1- State of the art
2- Coarse-to-fine Registration of Airborne LiDAR and Optical Imagery Data on Urban Scenes
3- Building Extraction Based on the Fusion of Airborne LiDAR and Optical Imagery Data
4- Conclusions and PerspectivesNuméro de notice : 28327 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Thèse française Note de thèse : Thèse de Doctorat : Sciences Géomatiques : Mines-Télécom Atlantique : 2020 Organisme de stage : Lab-STICC DOI : sans En ligne : https://tel.archives-ouvertes.fr/tel-03123328/document Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=98401 PermalinkDeep learning for conifer/deciduous classification of airborne LiDAR 3D point clouds representing individual trees / Hamid Hamraz in ISPRS Journal of photogrammetry and remote sensing, Vol 158 (December 2019)
PermalinkInside the ice shelf: using augmented reality to visualise 3D lidar and radar data of Antarctica / Alexandra L. Boghosian in Photogrammetric record, vol 34 n° 168 (December 2019)
PermalinkPermalinkNumérisation, restitution et visualisation en 3D de sites patrimoniaux / Jonathan Chemla in XYZ, n° 161 (décembre 2019)
PermalinkAnalysing the positional accuracy of GNSS multi-tracks obtained from VGI sources to generate improved 3D mean axes / Antonio Tomás Mozas-Calvache in International journal of geographical information science IJGIS, vol 33 n° 11 (November 2019)
PermalinkComparative study of photogrammetry software in industrial field / Saif Aati in Revue Française de Photogrammétrie et de Télédétection, n° 221 (novembre 2019)
PermalinkSemiautomatically register MMS LiDAR points and panoramic image sequence using road lamp and lane / Ningning Zhu in Photogrammetric Engineering & Remote Sensing, PERS, vol 85 n° 11 (November 2019)
PermalinkPostprocessing synchronization of a laser scanning system aboard a UAV / Marcela do Valle Machado in Photogrammetric Engineering & Remote Sensing, PERS, vol 85 n° 10 (October 2019)
PermalinksUAS-based remote rensing of river discharge using thermal particle image velocimetry and bathymetric lidar / Paul J. Kinzel in Remote sensing, vol 11 n° 19 (October-1 2019)
PermalinkTransferability and calibration of airborne laser scanning based mixed-effects models to estimate the attributes of sawlog-sized Scots pines / Lauri Korhonen in Silva fennica, vol 53 n° 3 (2019)
PermalinkBurn severity analysis in Mediterranean forests using maximum entropy model trained with EO-1 Hyperion and LiDAR data / Alfonso Fernández-Manso in ISPRS Journal of photogrammetry and remote sensing, vol 155 (September 2019)
PermalinkComparison of filtering algorithms used for DTM production from airborne lidar data: a case study in Bergama, Turkey / Baris Suleymanoglu in Geodetski vestnik, vol 63 n° 3 (September - November 2019)
PermalinkDelineation of vacant building land using orthophoto and lidar data object classification / Dejan Jenko in Geodetski vestnik, vol 63 n° 3 (September - November 2019)
PermalinkEnhanced 3D mapping with an RGB-D sensor via integration of depth measurements and image sequences / Bo Wu in Photogrammetric Engineering & Remote Sensing, PERS, vol 85 n° 9 (September 2019)
PermalinkIntegration of LiDAR and multispectral images for rapid exposure and earthquake vulnerability estimation. Application in Lorca, Spain / Yolanda Torres in International journal of applied Earth observation and geoinformation, vol 81 (September 2019)
PermalinkPpC: a new method to reduce the density of lidar data. Does it affect the DEM accuracy? / Sandra Bujan in Photogrammetric record, vol 34 n° 167 (September 2019)
PermalinkReduction of measurement data before Digital Terrain Model generation vs. DTM generalisation / Wioleta Błaszczak-Bąk in Survey review, vol 51 n° 368 (September 2019)
PermalinkTopographie et archéologie, du cordeau au tout numérique : plus de 40 ans d'interactions / Bertrand Chazaly in XYZ, n° 160 (septembre 2019)
PermalinkValidating the use of object-based image analysis to map commonly recognized landform features in the United States / Samantha T. Arundel in Cartography and Geographic Information Science, Vol 46 n° 5 (September 2019)
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