Centre dedocumentation
scientifique

ESA UGI (Unified-GNSS-Ionosphere): An open-source software to compute precise ionosphere estimates / Raül Orús-Pérez in Advances in space research, vol 67 n° 1 (January 2021)  

Public [article]  inAdvances in space research > vol 67 n° 1 (January 2021) . - pp 56 - 65 Titre : ESA UGI (Unified-GNSS-Ionosphere): An open-source software to compute precise ionosphere estimates Type de document : Article/Communication Auteurs : Raül Orús-Pérez, Auteur ; Bruno Nava, Auteur ; Juan M Parro-Jimenez, Auteur ; Anton Kashcheyev, Auteur Année de publication : 2021 Article en page(s) : pp 56 - 65 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géodésie spatiale [Termes IGN] code source libre [Termes IGN] logiciel libre [Termes IGN] modèle ionosphérique [Termes IGN] propagation ionosphérique Résumé : (auteur) Ionospheric estimation is becoming more and more important for the new multifrequency positioning algorithms, since they can help to improve greatly the convergence time for acquiring a good positioning error. In this paper, an open source tool to estimate precise ionospheric estimates is presented, namely ESA UGI (Unified-GNSS-Ionosphere). The presentation is done jointly with a methodology to test ionospheric model using a modified NeQuick to generate synthetic data. The results with different option of the ESA UGI shows that it has a good performance below 1 TECU (Total Electron Content Units) in vTEC (vertical Total Electron Content) RMS (Root Mean Squared) for European networks, around 2 TECU in a well-covered African region and between 1 and 6 TECU globally with this synthetic data. It shows as well the capability of changing between different ionosphere models (voxel, multilayer and spherical harmonics) and configuration options. Finally, a test with uncombined PPP actual data is presented showing that instantaneous convergence below 30 cm in 3D RMS position error are achievable in a well sounded area in Europe. Numéro de notice : A2021-485 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Article DOI : 10.1016/j.asr.2020.09.011 date de publication en ligne : 19/09/2020 En ligne : https://doi.org/10.1016/j.asr.2020.09.011 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=97445 [article]

Evaluating surface mesh reconstruction of open scenes / Yanis Marchand (2021)  

Public Titre : Evaluating surface mesh reconstruction of open scenes Type de document : Article/Communication Auteurs : Yanis Marchand, Auteur ; Bruno Vallet , Auteur ; Laurent Caraffa , Auteur Editeur : International Society for Photogrammetry and Remote Sensing ISPRS Année de publication : 2021 Collection : International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, ISSN 1682-1750 num. XLIII-B2-2021 Projets : 1-Pas de projet / Conférence : ISPRS 2021, Commission 2, XXIV ISPRS Congress, Imaging today foreseeing tomorrow 05/07/2021 09/07/2021 Nice Virtuel France OA Archives Commission 2 Importance : pp 369 - 376 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image [Termes IGN] code source libre [Termes IGN] données lidar [Termes IGN] données localisées 3D [Termes IGN] évaluation [Termes IGN] qualité du processus [Termes IGN] reconstruction d'objet [Termes IGN] scène urbaine [Termes IGN] semis de points Résumé : (auteur) This paper addresses the evaluation of algorithms reconstructing a watertight surface from a point cloud acquired on an open scene. The objective is to set a rigorous protocol measuring the quality of the reconstruction and to propose a quality metric that is informative with respect to the various qualities that such an algorithm should have, and in particular its capacity to interpolate and extrapolate accurately. Our approach aims at being more informative and rigorous than previous works on this topic. In addition, we use publicly available data and our implementation is open-source. We argue that a rigorous evaluation of surface reconstruction of open scenes needs to be performed on synthetic data where a perfect continuous ground truth surface is available, so we developed our own LiDAR simulator of which we give a description in the present paper. Numéro de notice : C2021-014 Affiliation des auteurs : UGE-LaSTIG (2020- ) Thématique : IMAGERIE/INFORMATIQUE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.5194/isprs-archives-XLIII-B2-2021-369-2021 date de publication en ligne : 28/06/2021 En ligne : https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-369-2021 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=98065

Porting ardupilot to ESP32: towards a universal open-source architecture for agile and easily replicable multi-domains mapping robots / Laurent Beaudoin (2020)  

Public contenu dans XXIV ISPRS Congress, Commission 2 / Nicolas Paparoditis (2020)   Titre : Porting ardupilot to ESP32: towards a universal open-source architecture for agile and easily replicable multi-domains mapping robots Type de document : Article/Communication Auteurs : Laurent Beaudoin, Auteur ; Loïca Avanthey, Auteur ; Charles Villard, Auteur Editeur : International Society for Photogrammetry and Remote Sensing ISPRS Année de publication : 2020 Collection : International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, ISSN 1682-1750 num. XLIII-B2 Projets : 1-Pas de projet / Conférence : ISPRS 2020, Commission 2, virtual Congress, Imaging today foreseeing tomorrow 31/08/2020 02/09/2020 Nice (en ligne) France Archives Commission 2 Importance : pp 933 - 939 Format : 21 x 30 cm Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] architecture logicielle [Termes IGN] code source libre [Termes IGN] logiciel libre [Termes IGN] robot Résumé : (auteur) In this article, we are interested in the implementation of an open-source low-level architecture (critical system) adapted to agile and easily replicable close-range remote sensing robots operating in multiple evolution domains. After reviewing the existing autopilots responding to these needs, we discuss the available hardware solutions and their limits. Then, we propose an original solution (software and hardware) that we developed to obtain a universal low-level architecture for all our exploration robots, whatever their environment of evolution, and the steps needed to make it run on our chosen family of micro-controllers: the ESP32. Finally, we present the operational results obtained on our different platforms (land, surface, submarine and air), their limits and the envisaged perspectives. Numéro de notice : C2020-011 Affiliation des auteurs : UGE-LaSTIG+Ext (2020- ) Thématique : INFORMATIQUE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.5194/isprs-archives-XLIII-B2-2020-933-2020 date de publication en ligne : 12/08/2020 En ligne : https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-933-2020 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95662

Torch-Points3D: A modular multi-task framework for reproducible deep learning on 3D point clouds / Thomas Chaton (2020)  

Public 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 en ligne Japon Archives Commission 2 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 Résumé : (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

Bridging open source tools and geoportals for interactive spatial data analytics / Bing She in Geo-spatial Information Science, vol 22 n° 3 (August 2019)  

Public [article]  inGeo-spatial Information Science > vol 22 n° 3 (August 2019) . - pp 185 - 192 Titre : Bridging open source tools and geoportals for interactive spatial data analytics Type de document : Article/Communication Auteurs : Bing She, Auteur ; Tao Hu, Auteur ; Xinyan Zhu, Auteur ; S. Bao, Auteur Année de publication : 2019 Article en page(s) : pp 185 - 192 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web [Termes IGN] analyse spatiale [Termes IGN] code source libre [Termes IGN] geoportail [Termes IGN] Python (langage de programmation) [Termes IGN] WebSIG Résumé : (Auteur) Geoportals have been the primary source of spatial information to researchers in diverse fields. Recent years have seen a growing trend to integrate spatial analysis and geovisual analytics inside Geoportals. Researchers could use the Geoportal to conduct basic analysis without offline processing. In practice, domain-specific analysis often requires researchers to integrate heterogeneous data sources, leverage new statistical models, or build their own customized models. These tasks are increasingly being tackled with open source tools in programming languages such as Python or R. However, it is unrealistic to incorporate the numerous open source tools in a Geoportal platform for data processing and analysis. This work provides an exploratory effort to bridge Geoportals and open source tools through Python scripting. The Geoportal demonstrated in this work is the Urban and Regional Explorer for China studies. A python package is provided to manipulate this platform in the local programming environment. The server side of the Geoportal implements a set of service endpoints that allows the package to upload, transform, and process user data and seamlessly integrate them into the existing datasets. A case study is provided that illustrated the use of this package to conduct integrated analyses of search engine data and baseline census data. This work attempts a new direction in Geoportal development, which could further promote the transformation of Geoportals into online analytical workbenches. Numéro de notice : A2019-327 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10095020.2019.1645497 date de publication en ligne : 29/07/2019 En ligne : https://doi.org/10.1080/10095020.2019.1645497 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=93332 [article]

Engraved footprints from the past. Retrieving cartographic geohistorical data from the Cassini Carte de France, 1750-1789 / Bertrand Duménieu (2019)  

Permalink

Geographic information retrieval method for geography mark-up language data / Caili Fang in ISPRS International journal of geo-information, vol 7 n° 3 (March 2018)  

Permalink

GRAPHOS – open‐source software for photogrammetric applications / Diego Gonzalez-Aguilera in Photogrammetric record, vol 33 n° 161 (March 2018)  

Permalink

Dernières nouvelles de QGIS ... et d'autres / Vincent Picavet in Géomatique expert, n° 117 (juillet - août 2017)

Permalink

Control quality of open source Digital Elevation Models (DEMs) in Tunisia / Noamen Rebaï in Revue internationale de géomatique, vol 27 n° 2 (avril - juin 2017)  

Permalink

Urfist de Bordeaux : l’open science par la pratique / Sabrina Granger in Arabesques, n° 84 (février - mars 2017) 

Permalink

Improving FOSS photogrammetric workflows for processing large image datasets / Oscar Martinez-Rubi in Open Geospatial Data, Software and Standards, vol 2 (2017)  

Permalink

OpenBIM framework for a collaborative historic preservation system / Shawn E. O'Keeffe in International journal of 3-D information modeling, vol 5 n° 4 (October - December 2016)  

Permalink

Conception de modèles 3D précis pour un suivi 4D optimisé des ouvrages hydrauliques linéaires : intérêt et particularité du drone / Vincent Tournadre in La Houille Blanche, revue internationale de l'eau, vol 2016 n° 3 (juin 2016)  

Permalink

Service-oriented model-encapsulation strategy for sharing and integrating heterogeneous geo-analysis models in an open web environment / Songshan Yue in ISPRS Journal of photogrammetry and remote sensing, vol 114 (April 2016)  

Permalink