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Generalisation and data quality / Nicolas Regnauld (2015)  

Public contenu dans ISPRS Geospatial Week 2015 / Clément Mallet (2015)   Titre : Generalisation and data quality Type de document : Article/Communication Auteurs : Nicolas Regnauld , Auteur Editeur : International Society for Photogrammetry and Remote Sensing ISPRS Année de publication : 2015 Collection : International Archives of Photogrammetry and Remote Sensing, ISSN 0252-8231 num. 40-3/W3 Conférence : ISPRS 2015, Geospatial Week : Laserscanning, ISSDQ, CMRT, ISA, GeoVIS, GeoBigData 28/09/2015 03/10/2015 La Grande Motte France ISPRS OA Archives Importance : pp 91 - 94 Format : 21 x 30 cm Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] généralisation automatique de données [Termes IGN] qualité des données [Termes IGN] utilisateur [Vedettes matières IGN] Généralisation Résumé : (auteur) The quality of spatial data has a massive impact on its usability. It is therefore critical to both the producer of the data and its users. In this paper we discuss the close links between data quality and the generalisation process. The quality of the source data has an effect on how it can be generalised, and the generalisation process has an effect on the quality of the output data. Data quality therefore needs to be kept under control. We explain how this can be done before, during and after the generalisation process, using three of 1Spatial’s software products: 1Validate for assessing the conformance of a dataset against a set of rules, 1Integrate for automatically fixing the data when non-conformances have been detected and 1Generalise for controlling the quality during the generalisation process. These tools are very effective at managing data that need to conform to a set of quality rules, the main remaining challenge is to be able to define a set of quality rules that reflects the fitness of a dataset for a particular purpose. Numéro de notice : C2015-003 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.5194/isprsarchives-XL-3-W3-91-2015 Date de publication en ligne : 19/08/2015 En ligne : http://dx.doi.org/10.5194/isprsarchives-XL-3-W3-91-2015 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=83520

Close-range photogrammetric tools for small 3d archeological objects / Mariam Samaan (2013)  

Public Titre : Close-range photogrammetric tools for small 3d archeological objects Type de document : Article/Communication Auteurs : Mariam Samaan , Auteur ; Raphaële Heno , Auteur ; Marc Pierrot-Deseilligny , Auteur Editeur : International Society for Photogrammetry and Remote Sensing ISPRS Année de publication : 2013 Collection : International Archives of Photogrammetry and Remote Sensing, ISSN 0252-8231 num. 40-5/W2 Conférence : CIPA 2013, ISPRS TC V, 23rd international symposium, Recording, Documentation and Cooperation for Cultural Heritage 02/09/2013 06/09/2013 Strasbourg France OA ISPRS Archives Importance : pp 549 - 553 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie terrestre [Termes IGN] corrélation automatique de points homologues [Termes IGN] hiéroglyphe [Termes IGN] MicMac [Termes IGN] modélisation 3D [Termes IGN] patrimoine culturel [Termes IGN] patrimoine immobilier [Termes IGN] photogrammétrie métrologique [Termes IGN] semis de points Résumé : (auteur) This article will focus on the first experiments carried out for our PHD thesis, which is meant to make the new image-based methods available for archeologists. As a matter of fact, efforts need to be made to find cheap, efficient and user-friendly procedures for image acquisition, data processing and quality control. Among the numerous tasks that archeologists have to face daily is the 3D recording of very small objects. The Apero/MicMac tools were used for the georeferencing and the dense correlation procedures. Relatively standard workflows lead to depth maps, which can be represented either as 3D point clouds or shaded relief images. Numéro de notice : C2013-009 Affiliation des auteurs : LGA (2012-2018) Thématique : IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.5194/isprsarchives-XL-5-W2-549-2013 Date de publication en ligne : 22/07/2013 En ligne : http://doi.org/10.5194/isprsarchives-XL-5-W2-549-2013 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=90823

An accuracy assessment of automated photogrammetric techniques for 3D modeling of complex interiors / Athanasios Georgantas (2012)  

Public contenu dans Proceedings, Commission 3, XXII ISPRS Congress, 25 August – 01 September 2012, Melbourne, Australia / M. Shortis (2012)   Titre : An accuracy assessment of automated photogrammetric techniques for 3D modeling of complex interiors Type de document : Article/Communication Auteurs : Athanasios Georgantas, Auteur ; Mathieu Brédif , Auteur ; Marc Pierrot-Deseilligny , Auteur Editeur : International Society for Photogrammetry and Remote Sensing ISPRS Année de publication : 2012 Collection : International Archives of Photogrammetry and Remote Sensing, ISSN 0252-8231 num. 39-B3 Conférence : ISPRS 2012, Commission 3, 22th international congress 25/08/2012 01/09/2012 Melbourne Australie OA ISPRS Archives Commission 3 Importance : pp 23 - 28 Format : 21 x 30 cm Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie terrestre [Termes IGN] analyse comparative [Termes IGN] APERO [Termes IGN] compensation par faisceaux [Termes IGN] données localisées 3D [Termes IGN] espace intérieur [Termes IGN] MicMac [Termes IGN] modèle 3D du site [Termes IGN] semis de points Résumé : (auteur) This paper presents a comparison of automatic photogrammetric techniques to terrestrial laser scanning for 3D modelling of complex interior spaces. We try to evaluate the automated photogrammetric techniques not only in terms of their geometric quality compared to laser scanning but also in terms of cost in money, acquisition and computational time. To this purpose we chose as test site a modern building’s stairway. APERO/MICMAC ( ©IGN )which is an Open Source photogrammetric software was used for the production of the 3D photogrammetric point cloud which was compared to the one acquired by a Leica Scanstation 2 laser scanner. After performing various qualitative and quantitative controls we present the advantages and disadvantages of each 3D modelling method applied in a complex interior of a modern building. Numéro de notice : C2012-013 Affiliation des auteurs : LASTIG MATIS+Ext (2012-2019) Thématique : IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.5194/isprsarchives-XXXIX-B3-23-2012 En ligne : http://dx.doi.org/10.5194/isprsarchives-XXXIX-B3-23-2012 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=94276

Automatic cloud detection from multi-temporal satellite images: towards the use of Pléiades time series / Nicolas Champion (2012)  

Public contenu dans Proceedings, Commission 3, XXII ISPRS Congress, 25 August – 01 September 2012, Melbourne, Australia / M. Shortis (2012)   Titre : Automatic cloud detection from multi-temporal satellite images: towards the use of Pléiades time series Type de document : Article/Communication Auteurs : Nicolas Champion , Auteur Editeur : International Society for Photogrammetry and Remote Sensing ISPRS Année de publication : 2012 Collection : International Archives of Photogrammetry and Remote Sensing, ISSN 0252-8231 num. 39-B3 Conférence : ISPRS 2012, Commission 3, 22th international congress 25/08/2012 01/09/2012 Melbourne Australie OA ISPRS Archives Commission 3 Importance : pp 559 - 564 Format : 21 x 30 cm Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie spatiale [Termes IGN] détection des nuages [Termes IGN] image multitemporelle [Termes IGN] image Pléiades-HR [Termes IGN] image SPOT-HRS [Termes IGN] segmentation en régions Résumé : (auteur) Contrary to aerial images, satellite images are often affected by the presence of clouds. Identifying and removing these clouds is one of the primary steps to perform when processing satellite images, as they may alter subsequent procedures such as atmospheric corrections, DSM production or land cover classification. The main goal of this paper is to present the cloud detection approach, developed at the French Mapping agency. Our approach is based on the availability of multi-temporal satellite images (i.e. time series that generally contain between 5 and 10 images) and is based on a region-growing procedure. Seeds (corresponding to clouds) are firstly extracted through a pixel-to-pixel comparison between the images contained in time series (the presence of a cloud is here assumed to be related to a high variation of reflectance between two images). Clouds are then delineated finely using a dedicated region-growing algorithm. The method, originally designed for panchromatic SPOT5-HRS images, is tested in this paper using time series with 9 multi-temporal satellite images. Our preliminary experiments show the good performances of our method. In a near future, the method will be applied to Pléiades images, acquired during the in-flight commissioning phase of the satellite (launched at the end of 2011). In that context, this is a particular goal of this paper to show to which extent and in which way our method can be adapted to this kind of imagery. Numéro de notice : C2012-017 Affiliation des auteurs : LASTIG MATIS (2012-2019) Thématique : IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.5194/isprsarchives-XXXIX-B3-559-2012 En ligne : http://dx.doi.org/10.5194/isprsarchives-XXXIX-B3-559-2012 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=94281

LIBRJMCMC: an open-source generic C++ library for stochastic optimization / Mathieu Brédif (2012)  

Public contenu dans Proceedings, Commission 3, XXII ISPRS Congress, 25 August – 01 September 2012, Melbourne, Australia / M. Shortis (2012)   Titre : LIBRJMCMC: an open-source generic C++ library for stochastic optimization Type de document : Article/Communication Auteurs : Mathieu Brédif , Auteur ; Olivier Tournaire , Auteur Editeur : International Society for Photogrammetry and Remote Sensing ISPRS Année de publication : 2012 Collection : International Archives of Photogrammetry and Remote Sensing, ISSN 0252-8231 num. 39-B3 Conférence : ISPRS 2012, Commission 3, 22th international congress 25/08/2012 01/09/2012 Melbourne Australie OA ISPRS Archives Commission 3 Importance : pp 259 - 264 Format : 21 x 30 cm Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Produits informatiques [Termes IGN] algorithme du recuit simulé [Termes IGN] algorithme RJMCMC [Termes IGN] bibliothèque logicielle [Termes IGN] code source libre [Termes IGN] processus ponctuel marqué [Termes IGN] programmation stochastique [Termes IGN] semis de points Résumé : (auteur) The LIBRJMCMC is an open source C++ library that solves optimization problems using a stochastic framework. The library is primarily intended for but not limited to research purposes in computer vision, photogrammetry and remote sensing, as it has initially been developed in the context of extracting building footprints from digital elevation models using a marked point process of rectangles. It has been designed to be both highly modular and extensible, and have computational times comparable to a code specifically designed for a particular application, thanks to the powerful paradigms of metaprogramming and generic programming. The proposed stochastic optimization is built on the coupling of a stochastic Reversible-Jump Markov Chain Monte Carlo (RJMCMC) sampler and a simulated annealing relaxation. This framework allows, with theoretical guarantees, the optimization of an unrestricted objective function without requiring any initial solution. The modularity of our library allows the processing of any kind of input data, whether they are 1D signals (e.g. LiDAR or SAR waveforms), 2D images, 3D point clouds... The library user has just to define a few modules describing its domain specific context: the encoding of a configuration (e.g. its object type in a marked point process context), reversible jump kernels (e.g. birth, death, modifications...), the optimized energies (e.g. data and regularization terms) and the probabilized search space given by the reference process. Similar to this extensibility in the application domain, concepts are clearly and orthogonally separated such that it is straightforward to customize the convergence test, the temperature schedule, or to add visitors enabling visual feedback during the optimization. The library offers dedicated modules for marked point processes, allowing the user to optimize a Maximum A Posteriori (MAP) criterion with an image data term energy on a marked point process of rectangles. Numéro de notice : C2012-014 Affiliation des auteurs : LASTIG MATIS+Ext (2012-2019) Thématique : IMAGERIE/INFORMATIQUE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.5194/isprsarchives-XXXIX-B3-23-2012 En ligne : http://dx.doi.org/10.5194/isprsarchives-XXXIX-B3-259-2012 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=94277

Reconstruction of sky illumination domes from ground-based panoramas / Fabien Coubard (2012)  

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Apero, an open source bundle adjusment software for automatic calibration and orientation of set of images / Marc Pierrot-Deseilligny (2011)  

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Architectural patrimony management in Yemen / Raphaële Heno (2011)    

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Dimensionality based scale selection in 3d Lidar point clouds / Jérôme Demantké (2011)    

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Forest object-oriented classification with customized and automatic attribute selection / Olivier de Joinville (2010)    

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ISPRS Technical commission 7 symposium, 100 years ISPRS, Advancing Remote Sensing Science, July 5-7, 2010, Vienna, Austria, Part B. Papers accepted on the basis of peer-reviewed abstracts / Wolfgang Wagner (2010)  

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ISPRS Technical commission 7 symposium, 100 years ISPRS, Advancing Remote Sensing Science, July 5-7, 2010, Vienna, Austria, Part A. Papers accepted on the basis of peer-reviewed full manuscripts / Wolfgang Wagner (2010)  

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An efficient approach to building superstructure reconstruction using digital elevation maps / Fadi Dornaika (2008)  

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Analysis of full-waveform Lidar data for classification of urban areas / Uwe Soergel (2008)    

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Lidar data classification using hierarchical K-means clustering / Frédéric Bretar (2008)    

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