Détail de l'autorité
ISPRS 2015, Geospatial Week : Laserscanning, ISSDQ, CMRT, ISA, GeoVIS, GeoBigData 28/09/2015 03/10/2015 La Grande Motte France ISPRS OA Archives
Autorités liées :
nom du congrès :
ISPRS 2015, Geospatial Week : Laserscanning, ISSDQ, CMRT, ISA, GeoVIS, GeoBigData
début du congrès :
28/09/2015
fin du congrès :
03/10/2015
ville du congrès :
La Grande Motte
pays du congrès :
France
site des actes du congrès :
|
Documents disponibles (10)



Titre : 3D octree based watertight mesh generation from ubiquitous data Type de document : Article/Communication Auteurs : Laurent Caraffa , Auteur ; Mathieu Brédif
, Auteur ; Bruno Vallet
, Auteur
Editeur : International Society for Photogrammetry and Remote Sensing ISPRS Année de publication : 2015 Collection : International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, ISSN 1682-1750 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 613 - 617 Format : 21 x 30 cm Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] algorithme Graph-Cut
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] maillage par triangles
[Termes IGN] octree
[Termes IGN] reconstruction d'objet
[Termes IGN] segmentation binaireRésumé : (auteur) Despite of the popularity of Delauney structure for mesh generation, octree based approaches remain an interesting solution for a first step surface reconstruction. In this paper, we propose a generic framework for a octree cell based mesh generation. Its input is a set of Lidar-based 3D measurements or other inputs which are formulated as a set of mass functions that characterize the level of confidence on the occupancy of each octree’s leaf. The output is a binary segmentation of the space between occupied and empty areas by taking into account the uncertainty of data. To this end, the problem is then reduced to a global energy optimization framework efficiently optimized with a min-cut approach. We use the approach for producing a large scale surface reconstruction algorithm by merging data from ubiquitous sources like airborne, terrestrial Lidar data, occupancy map and extra cues. Once the surface is computed, a solution is proposed for texturing the mesh. Numéro de notice : C2015-005 Affiliation des auteurs : LASTIG MATIS (2012-2019) Thématique : IMAGERIE/MATHEMATIQUE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.5194/isprsarchives-XL-3-W3-613-2015 Date de publication en ligne : 19/08/2015 En ligne : http://dx.doi.org/10.5194/isprsarchives-XL-3-W3-613-2015 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=80295
Titre : Coastal digital surface model on low contrast images Type de document : Article/Communication Auteurs : Ana-Maria Rosu, Auteur ; Michel Assenbaum, Auteur ; Ywenn de La Torre, Auteur ; Marc Pierrot-Deseilligny , Auteur
Editeur : International Society for Photogrammetry and Remote Sensing ISPRS Année de publication : 2015 Collection : International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, ISSN 1682-1750 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 307 - 312 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] contraste de couleurs
[Termes IGN] image aérienne
[Termes IGN] image captée par drone
[Termes IGN] littoral
[Termes IGN] MicMac
[Termes IGN] modèle numérique de surfaceRésumé : (auteur) Coastal sandy environments are extremely dynamic and require regular monitoring that can easily be achieved by using an unmanned aerial system (UAS) including a drone and a photo camera. The acquired images have low contrast and homogeneous texture. Using these images and with very few, if any, ground control points (GCPs), it is difficult to obtain a digital surface model (DSM) by classical correlation and automatic interest points determination approach. A possible response to this problem is to work with enhanced, contrast filtered images. To achieve this, we use and tune the free open-source software MicMac. Numéro de notice : C2015-062 Affiliation des auteurs : LASTIG MATIS+Ext (2012-2019) Thématique : IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.5194/isprsarchives-XL-3-W3-307-2015 Date de publication en ligne : 19/08/2015 En ligne : https://doi.org/10.5194/isprsarchives-XL-3-W3-307-2015 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=91907
Titre : Distributed dimensonality-based rendering of lidar point clouds Type de document : Article/Communication Auteurs : Mathieu Brédif , Auteur ; Bruno Vallet
, Auteur ; Benjamin Ferrand, Auteur
Editeur : International Society for Photogrammetry and Remote Sensing ISPRS Année de publication : 2015 Collection : International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, ISSN 1682-1750 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 559 - 564 Format : 21 x 30 cm Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] analyse en composantes principales
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] semis de points
[Termes IGN] visualisation 2DRésumé : (auteur) Mobile Mapping Systems (MMS) are now commonly acquiring lidar scans of urban environments for an increasing number of applications such as 3D reconstruction and mapping, urban planning, urban furniture monitoring, practicability assessment for persons with reduced mobility (PRM)... MMS acquisitions are usually huge enough to incur a usability bottleneck for the increasing number of non-expert user that are not trained to process and visualize these huge datasets through specific softwares. A vast majority of their current need is for a simple 2D visualization that is both legible on screen and printable on a static 2D medium, while still conveying the understanding of the 3D scene and minimizing the disturbance of the lidar acquisition geometry (such as lidar shadows). The users that motivated this research are, by law, bound to precisely georeference underground networks for which they currently have schematics with no or poor absolute georeferencing. A solution that may fit their needs is thus a 2D visualization of the MMS dataset that they could easily interpret and on which they could accurately match features with their user datasets they would like to georeference. Our main contribution is two-fold. First, we propose a 3D point cloud stylization for 2D static visualization that leverages a Principal Component Analysis (PCA)-like local geometry analysis. By skipping the usual and error-prone estimation of a ground elevation, this rendering is thus robust to non-flat areas and has no hard-to-tune parameters such as height thresholds. Second, we implemented the corresponding rendering pipeline so that it can scale up to arbitrary large datasets by leveraging the Spark framework and its Resilient Distributed Dataset (RDD) and Dataframe abstractions. Numéro de notice : C2015-004 Affiliation des auteurs : LASTIG MATIS (2012-2019) Thématique : IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.5194/isprsarchives-XL-3-W3-559-2015 Date de publication en ligne : 19/08/2015 En ligne : http://dx.doi.org/10.5194/isprsarchives-XL-3-W3-559-2015 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=80294 Extraction of optimal spectral bands using hierarchical band merging out of hyperspectral data / Arnaud Le Bris (2015)
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Titre : Extraction of optimal spectral bands using hierarchical band merging out of hyperspectral data Type de document : Article/Communication Auteurs : Arnaud Le Bris , Auteur ; Nesrine Chehata
, Auteur ; Xavier Briottet
, Auteur ; Nicolas Paparoditis
, Auteur
Editeur : International Society for Photogrammetry and Remote Sensing ISPRS Année de publication : 2015 Collection : International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, ISSN 1682-1750 num. 40-3/W3 Projets : HYEP / Weber, Christiane 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 459 - 465 Format : 21 x 30 cm Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] fusion de données
[Termes IGN] image hyperspectraleRésumé : (auteur) Spectral optimization consists in identifying the most relevant band subset for a specific application. It is a way to reduce hyperspectral data huge dimensionality and can be applied to design specific superspectral sensors dedicated to specific land cover applications. Spectral optimization includes both band selection and band extraction. On the one hand, band selection aims at selecting an optimal band subset (according to a relevance criterion) among the bands of a hyperspectral data set, using automatic feature selection algorithms. On the other hand, band extraction defines the most relevant spectral bands optimizing both their position along the spectrum and their width. The approach presented in this paper first builds a hierarchy of groups of adjacent bands, according to a relevance criterion to decide which adjacent bands must be merged. Then, band selection is performed at the different levels of this hierarchy. Two approaches were proposed to achieve this task : a greedy one and a new adaptation of an incremental feature selection algorithm to this hierarchy of merged bands. Numéro de notice : C2015-007 Affiliation des auteurs : LASTIG MATIS+Ext (2012-2019) Thématique : IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.5194/isprsarchives-XL-3-W3-459-2015 Date de publication en ligne : 20/08/2015 En ligne : http://dx.doi.org/10.5194/isprsarchives-XL-3-W3-459-2015 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=80297
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] GénéralisationRésumé : (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 Homogeneous geovisualization of coastal areas from heterogeneous spatio-temporal data / Antoine Masse (2015)
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