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International Society for Photogrammetry and Remote Sensing ISPRS
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An accuracy assessment of automated photogrammetric techniques for 3D modeling of complex interiors / Athanasios Georgantas (2012)
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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 pointsRésumé : (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)
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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 régionsRésumé : (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 Extracting precise and affordable DEMs despite of the clouds. Ajax: the joining of radar and optical strengths / Laurent Cunin (2012)
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Titre : Extracting precise and affordable DEMs despite of the clouds. Ajax: the joining of radar and optical strengths Type de document : Article/Communication Auteurs : Laurent Cunin , Auteur ; Philippe Nonin, Auteur ; Juergen Janoth, Auteur ; Marc Bernard, Auteur
Editeur : International Society for Photogrammetry and Remote Sensing ISPRS Année de publication : 2012 Collection : International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, ISSN 1682-1750 num. 39-B4 Conférence : ISPRS 2012, Commission 4, 22th international congress 25/08/2012 01/09/2012 Melbourne Australie OA ISPRS Archives Commission 4 Importance : pp 271 - 274 Format : 21 x 30 cm Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image mixte
[Termes IGN] Colombie
[Termes IGN] Congo
[Termes IGN] Elevation30/Reference3D
[Termes IGN] image SPOT-HRS
[Termes IGN] image TerraSAR-X
[Termes IGN] modèle numérique de surface
[Termes IGN] nuage
[Termes IGN] Référence-3DRésumé : (auteur) On the one hand, onboard SPOT 5, the HRS instrument systematically collects stereopairs around the Globe since 2002. Each stereopair can encompass an area up to 600 km x 120 km within a single pass (i.e. 72 000 km² stereoscopic strips). Covering now more than 120 millions sq.km of the Earth landmasses, SPOT 5 stereoscopic imagery has become one of main satellite data sources for accurate DEM extraction, at least where the cloud coverage leaves a chance to do so ! On the other hand, the TerraSAR-X satellite, launched in June 2007, is able to collect radar data through the clouds in several modes. An approach to extract height information by radargrammetry was developed, and the commercial distribution of Digital Elevation Models based on TerraSAR-X StripMap and SpotLight Modes (resp. 3m and 1m resolution) has started in 2010. To improve the overall height accuracy of the DEM, acquisitions from both orbit directions are utilised, each point on the ground being thus imaged at least 4 times by TerraSAR-X. Since 2002, Spot Image and French National Cartographic Institute (IGN) are building a worldwide database called Elevation30/Reference3D™, which includes a Digital Elevation Model at 1-arc-second resolution (DTED level 2) extracted from HRS stereopairs. To answer the wide demand of precise DEMs over Tropical and Northern areas, frequently covered by clouds, a study was performed to integrate StripMap radargrammetric TerraSAR-X data into the Reference3D process, and two prototype products were issued, over Colombia and Congo areas. During this experiment, efforts have been made to stick to technical steps that could be integrated within a standardized production process, in order to keep offering affordable prices while maintaining a high standard of horizontal and vertical accuracy. The DEMs extracted from TerraSAR-X and HRS proved extremely consistent with each other, showing a mean difference of 0.80m. This allows to propose a unified Elevation30 product to the users, with a guaranteed accuracy materialized into the product through a dedicated vertical Accuracy Commitment Mask. Numéro de notice : C2012-018 Affiliation des auteurs : IGN+Ext (2012-2019) Thématique : IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.5194/isprsarchives-XXXIX-B4-271-2012 Date de publication en ligne : 31/07/2012 En ligne : http://dx.doi.org/10.5194/isprsarchives-XXXIX-B4-271-2012 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=94283 ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences / International society for photogrammetry and remote sensing (1980 -) (2012 - )
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Titre : ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences Type de document : Périodique Auteurs : International society for photogrammetry and remote sensing (1980 -), Auteur Editeur : International Society for Photogrammetry and Remote Sensing ISPRS Année de publication : 2012 - ISBN/ISSN/EAN : 2194-9050 Note générale : The Annals are listed in the ISI Conference Proceedings Citation Index (CPCI) of the Web of Science, SCOPUS, and in the Directory of Open Access Journals (DOAJ). Langues : Anglais (eng) Résumé : Titre en libre accès. Articles publiés sous licence Creative Common Attribution 3.0
It contains selected full open access paper double-blind peer-reviewed scientific contributions of ISPRS Congresses, Symposia and a number of Conferences and Workshops.Numéro de notice : 000 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Titre de périodique nature-HAL : ArtAvecCL-RevueIntern En ligne : http://www.isprs.org/publications/annals.aspx Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=78447
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 pointsRésumé : (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 Proceedings, Commission 1, XXII ISPRS Congress, 25 August – 01 September 2012, Melbourne, Australia / M. Shortis (2012)
PermalinkProceedings, Commission 3, XXII ISPRS Congress, 25 August – 01 September 2012, Melbourne, Australia / M. Shortis (2012)
PermalinkPermalinkPermalinkAn ontology-based approach to incorporate user-generated geo-content into SDI / D.P. Deng (20/10/2011)
PermalinkApero, an open source bundle adjusment software for automatic calibration and orientation of set of images / Marc Pierrot-Deseilligny (2011)
PermalinkPermalinkChange detection in a topographic building database using submetric satellite images / Arnaud Le Bris (2011)
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