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Learnable Earth Parser: Discovering 3D Prototypes in Aerial Scans / Romain Loiseau (2023)  

Public Titre : Learnable Earth Parser: Discovering 3D Prototypes in Aerial Scans Type de document : Article/Communication Auteurs : Romain Loiseau , Auteur ; Elliot Vincent, Auteur ; Mathieu Aubry, Auteur ; Loïc Landrieu , Auteur Editeur : Ithaca [New York - Etats-Unis] : ArXiv - Université Cornell Année de publication : 2023 Importance : 18 p. Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie [Termes IGN] données lidar [Termes IGN] données localisées 3D [Termes IGN] information complexe [Termes IGN] scène 3D [Termes IGN] semis de points [Termes IGN] zone urbaine Résumé : (auteur) We propose an unsupervised method for parsing large 3D scans of real-world scenes into interpretable parts. Our goal is to provide a practical tool for analyzing 3D scenes with unique characteristics in the context of aerial surveying and mapping, without relying on application-specific user annotations. Our approach is based on a probabilistic reconstruction model that decomposes an input 3D point cloud into a small set of learned prototypical shapes. Our model provides an interpretable reconstruction of complex scenes and leads to relevant instance and semantic segmentations. To demonstrate the usefulness of our results, we introduce a novel dataset of seven diverse aerial LiDAR scans. We show that our method outperforms state-of-the-art unsupervised methods in terms of decomposition accuracy while remaining visually interpretable. Our method offers significant advantage over existing approaches, as it does not require any manual annotations, making it a practical and efficient tool for 3D scene analysis. Our code and dataset are available at https://imagine.enpc.fr/~loiseaur/learnable-earth-parser Numéro de notice : P2023-005 Affiliation des auteurs : UGE-LASTIG+Ext (2020- ) Thématique : IMAGERIE/INFORMATIQUE Nature : Preprint nature-HAL : Préprint DOI : sans En ligne : https://hal.science/hal-04135416 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=103347

Cartographic design and the space–time cube / Irma Kveladze in Cartographic journal (the), Vol 56 n° 1 (February 2019)  

Public [article]  inCartographic journal (the) > Vol 56 n° 1 (February 2019) . - pp 73 - 90 Titre : Cartographic design and the space–time cube Type de document : Article/Communication Auteurs : Irma Kveladze, Auteur ; Menno-Jan Kraak, Auteur ; Corné P.J.M. Van Elzakker, Auteur Année de publication : 2019 Article en page(s) : pp 73 - 90 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] convivialité [Termes IGN] couleur (rédaction cartographique) [Termes IGN] cube espace-temps [Termes IGN] estompage en fonction de l'éloignement [Termes IGN] information complexe [Termes IGN] oculométrie [Termes IGN] taille (variable visuelle) [Termes IGN] variable visuelle [Vedettes matières IGN] Géovisualisation Résumé : (Auteur) This paper reports on the results of an empirical evaluation that aimed to define the effectiveness and efficiency of different visual variables in depicting the Space–Time Cube’s (STC) content. Existing STC applications demonstrate that the most used visual variables are size and colour hue. Less is known, however, about their usability metrics. The research sets design criteria for STC contents, such as space–time paths, based on the cartographic design theory. The visual variables colour hue, colour value, colour saturation, size and orientation have been applied in two different use case studies. Besides, to support the three-dimensional visual environment, depth cues such as shading and transparency were considered too. User tests have been executed based on real-world problems with particular attention for the visualization strategy and data complexity. The outcomes revealed the most efficient and effective visual variables to represent data of various complexities in the STC. Numéro de notice : A2019-449 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/00087041.2018.1495898 Date de publication en ligne : 13/12/2018 En ligne : https://doi.org/10.1080/00087041.2018.1495898 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=92796 [article]

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Salient object detection in complex scenes via D-S evidence theory based region classification / Chunlei Yang in The Visual Computer, vol 33 n° 11 (November 2017)  

Public [article]  inThe Visual Computer > vol 33 n° 11 (November 2017) . - pp 1415 - 1428 Titre : Salient object detection in complex scenes via D-S evidence theory based region classification Type de document : Article/Communication Auteurs : Chunlei Yang, Auteur ; Jiexin Pu, Auteur ; Yongsheng Dong, Auteur ; et al., Auteur Année de publication : 2017 Article en page(s) : pp 1415 - 1428 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image [Termes IGN] fusion de données [Termes IGN] information complexe [Termes IGN] scène intérieure [Termes IGN] segmentation d'image [Termes IGN] théorie de Dempster-Shafer [Termes IGN] zone saillante 3D Résumé : (Auteur) In complex scenes, multiple objects are often concealed in cluttered backgrounds. Their saliency is difficult to be detected by using conventional methods, mainly because single color contrast can not shoulder the mission of saliency measure; other image features should be involved in saliency detection to obtain more accurate results. Using Dempster-Shafer (D-S) evidence theory based region classification, a novel method is presented in this paper. In the proposed framework, depth feature information extracted from a coarse map is employed to generate initial feature evidences which indicate the probabilities of regions belonging to foreground or background. Based on the D-S evidence theory, both uncertainty and imprecision are modeled, and the conflicts between different feature evidences are properly resolved. Moreover, the method can automatically determine the mass functions of the two-stage evidence fusion for region classification. According to the classification result and region relevance, a more precise saliency map can then be generated by manifold ranking. To further improve the detection results, a guided filter is utilized to optimize the saliency map. Both qualitative and quantitative evaluations on three publicly challenging benchmark datasets demonstrate that the proposed method outperforms the contrast state-of-the-art methods, especially for detection in complex scenes. Numéro de notice : A2017-713 Affiliation des auteurs : non IGN Thématique : IMAGERIE/INFORMATIQUE Nature : Article DOI : 10.1007/s00371-016-1288-y En ligne : https://doi.org/10.1007/s00371-016-1288-y Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=88094 [article]

Building information modelling for high-rise land administration / Behnam Atazadeh in Transactions in GIS, vol 21 n° 1 (February 2017)  

Public [article]  inTransactions in GIS > vol 21 n° 1 (February 2017) . - pp 91 – 113 Titre : Building information modelling for high-rise land administration Type de document : Article/Communication Auteurs : Behnam Atazadeh, Auteur ; Moshen Kalantari, Auteur ; Abbas Rajabifard, Auteur ; et al., Auteur Année de publication : 2017 Article en page(s) : pp 91 – 113 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique [Termes IGN] base de données foncières [Termes IGN] cadastre 3D [Termes IGN] cadastre étranger [Termes IGN] information complexe [Termes IGN] lasergrammétrie [Termes IGN] modélisation 3D du bâti BIM [Termes IGN] photogrammétrie architecturale [Termes IGN] photogrammétrie terrestre [Termes IGN] système d'extension spatial Résumé : (auteur) Current land administration systems mainly use 2D plans to define and secure ownership rights associated with properties in high-rise buildings. These 2D plans may not effectively communicate and manage the spatial complexity associated with multi-layered and stacked properties in such buildings; additionally, multiple pages of plans (representing sections of the building) are required to represent all ownership boundaries. In response, land administration organizations have been investigating a 3D digital approach to managing information about ownership rights in high-rise building structures. In this article, Building Information Modeling (BIM) is proposed as a feasible approach for managing land and property information in high-rise buildings. BIM provides a collaborative, digital and intelligent 3D data environment for managing building information throughout the lifecycle of buildings. However, there is currently no capacity in BIM for recording and representing information about ownership and boundaries of properties, which is core land administration information. Therefore, this article proposes an extension to the BIM standard, which is implemented in a prototype BIM model of a complex building to showcase the potential capability of using BIM for high-rise land administration and for modeling 3D ownership rights. Numéro de notice : A2017-162 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/tgis.12199 En ligne : http://dx.doi.org/10.1111/tgis.12199 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=84688 [article]

Influence of tree species complexity on discrimination performance of vegetation indices / Azadeh Ghiyamat in European journal of remote sensing, vol 49 n° 1 (2016)  

Public [article]  inEuropean journal of remote sensing > vol 49 n° 1 (2016) . - pp 15 - 37 Titre : Influence of tree species complexity on discrimination performance of vegetation indices Type de document : Article/Communication Auteurs : Azadeh Ghiyamat, Auteur ; Helmi Zulhaidi Mohd Shafri, Auteur ; Abdul Rashid Mohamed Shariff, Auteur Année de publication : 2016 Article en page(s) : pp 15 - 37 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] analyse de mélange spectral d’extrémités multiples [Termes IGN] analyse discriminante [Termes IGN] espèce végétale [Termes IGN] image aérienne [Termes IGN] image hyperspectrale [Termes IGN] indice de végétation [Termes IGN] information complexe [Termes IGN] Pinus nigra corsicana [Termes IGN] Pinus sylvestris [Termes IGN] test de performance Résumé : (auteur) Performance of different vegetation indices (VIs) in combination with single- and multipleendmember (SEM and MEM) for discriminating Corsican and Scots pines with different ages and Broadleaves tree species is demonstrated by using an airborne hyperspectral data. The analysis is performed in three different complexity levels. The results show by increasing tree species complexity, overall accuracy significantly reduced. An overall accuracy up to 90% is obtained from the first category with the least complexity; however, it is reduced to 55% in the third category with the highest complexity. By employing MEM, performance of normalized difference vegetation index (NDVI) is increased by 10%. Numéro de notice : A2016-834 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : 10.5721/EuJRS20164902 En ligne : http://dx.doi.org/10.5721/EuJRS20164902 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=82723 [article]

A framework for intelligence analysis using spatio-temporal storytelling / Raimundo F. Dos Santos Jr. in Geoinformatica, vol 20 n° 2 (April - June 2016)  

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APFiLoc: An Infrastructure-Free Indoor Localization method fusing smartphone inertial sensors, landmarks and map information / Jianga Shang in Sensors, vol 15 n° 10 (October 2015)  

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Dissemination and geovisualization of territorial entities’ history / Christine Plumejeaud in Journal of Spatial Information Science (JoSIS), n° 8 (2014)    

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Intelligent services for discovery of complex geospatial features from remote sensing imagery / Peng Yue in ISPRS Journal of photogrammetry and remote sensing, vol 83 (September 2013)  

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Thinking outside the disciplinary box in coping with dilemmas in geoinformation management for public policy / W.H. ERIK DE Man in Transactions in GIS, vol 17 n° 3 (June 2013)  

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Automated detection of arbitrarily shaped buildings in complex environments from monocular VHR optical satellite imagery / Ali Ozgun Ok in IEEE Transactions on geoscience and remote sensing, vol 51 n° 3 Tome 2 (March 2013)  

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De la vulgarisation dans la cartographie de presse / Cécile Marin in Carto, le monde en cartes, n° 10 (mars - avril 2012)

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Analytical 3D views and virtual globes: scientific results in a familiar spatial context / D. Tiede in ISPRS Journal of photogrammetry and remote sensing, vol 65 n° 3 (May - June 2010)  

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Worlds of information: the geographic metaphor in the visualization of complex information / Helen Couclelis in Cartography and geographic information systems, vol 25 n° 4 (October 1998)  

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