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PIA 2007, ISPRS Conference on Photogrammetric Image Analysis 19/09/2007 21/09/2007 Munich Allemagne ISPRS OA Archives
nom du congrès :
PIA 2007, ISPRS Conference on Photogrammetric Image Analysis
début du congrès :
19/09/2007
fin du congrès :
21/09/2007
ville du congrès :
Munich
pays du congrès :
Allemagne
site des actes du congrès :
|
Documents disponibles (4)
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Affiner la recherche Interroger des sources externes2D building change detection from high resolution aerial images and correlation digital surface models / Nicolas Champion (2007)
Titre : 2D building change detection from high resolution aerial images and correlation digital surface models Type de document : Article/Communication Auteurs : Nicolas Champion Editeur : International Society for Photogrammetry and Remote Sensing ISPRS Année de publication : 2007 Collection : International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, ISSN 1682-1750 num. 36-3-W49 Conférence : PIA 2007, ISPRS Conference on Photogrammetric Image Analysis 19/09/2007 21/09/2007 Munich Allemagne ISPRS OA Archives Importance : pp 197 - 202 Format : 21 x 30 cm Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] actualité des données
[Termes IGN] base de données foncières
[Termes IGN] base de données topographiques
[Termes IGN] bâtiment
[Termes IGN] chaîne de traitement
[Termes IGN] détection de changement
[Termes IGN] détection du bâti
[Termes IGN] données localisées 2D
[Termes IGN] image 2D
[Termes IGN] image à haute résolution
[Termes IGN] image aérienne
[Termes IGN] image infrarouge
[Termes IGN] image RVB
[Termes IGN] modèle numérique de surface
[Termes IGN] modèle numérique de terrainRésumé : (auteur) Updating 2D databases has become a crucial issue in most mapping agencies. Such a work traditionally starts out with a change detection phase. A subsequent update phase is then carried out to register changes in the up-to-date database. The first phase is by far the most costly and plodding, as it has until now required field or visual inspection (of orthophotos). The main goal of this paper is to present a new method for detecting changes in the building layer of a 2D cadastral database. This method aims at giving potential changes to a human operator for subsequent validation and update registration. In this paper, we propose a new workflow for the change detection process, by splitting it into 2 separate steps. The first step consists in verifying automatically buildings through a hypothesizeand verify process: the initial description of the database is used to guide the change detection process. The second step consists in extracting new buildings from geometric considerations. In this paper, the method is tested and assessed in a densely built-up area. A specific methodology is firstly employed to estimate the best parameters to use in the system and also to characterise its performance. Results are secondly assessed and show the high potential of our system in such a context. Numéro de notice : C2007-034 Affiliation des auteurs : MATIS (1993-2011) Thématique : IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : sans En ligne : https://www.isprs.org/proceedings/XXXVI/3-W49/PartA/papers/197_pia07.pdf Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=92366 Documents numériques
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2D Building... - pdf éditeurAdobe Acrobat PDF
Titre : Digital terrain model on vegetated areas: joint use of airborne Lidar data and optical images Type de document : Article/Communication Auteurs : Frédéric Bretar, Auteur ; Nesrine Chehata Editeur : International Society for Photogrammetry and Remote Sensing ISPRS Année de publication : 2007 Collection : International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, ISSN 1682-1750 num. 36-3-W49 Conférence : PIA 2007, ISPRS Conference on Photogrammetric Image Analysis 19/09/2007 21/09/2007 Munich Allemagne ISPRS OA Archives Importance : pp 19 - 24 Format : 21 x 30 cm Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] BD ortho
[Termes IGN] classification
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] forêt
[Termes IGN] image optique
[Termes IGN] image RVB
[Termes IGN] lasergrammétrie
[Termes IGN] masque de végétation
[Termes IGN] milieu rural
[Termes IGN] modèle numérique de terrain
[Termes IGN] Normalized Difference Vegetation Index
[Termes IGN] openfield
[Termes IGN] semis de pointsRésumé : (auteur) Airborne Lidar system provides the Earth’s topography as 3D point clouds. Many algorithms have been implemented to sort out the automatic classification problem as well as the Digital Terrain Model generation (DTM). This is mainly due to the various aspects of landscapes within a global survey which can include urban, forested or mountainous areas. This paper is focused on the generation of DTM over rural areas that are composed of open fields and forests. The methodology we propose is based on the joint use of optical images and Lidar data. It aims at adapting the window size of a morphological-based filtering algorithm to the presence of vegetated areas. In this context, Lidar intensity and optical images are combined to generate a Hybrid Normalized Difference Vegetation Index (HNDVI). A vegetation mask is then calculated with HNDVI and Lidar variance information. The window size continuously varies from a predefined minimum distance to an automatically processed upper boundary. We show with conclusive results the potentiality of a full combination of Lidar data and RGB optical images for improving the generation of fine DTMs on rural environments. Numéro de notice : C2007-031 Affiliation des auteurs : MATIS+Ext (1993-2011) Thématique : IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : sans En ligne : https://www.isprs.org/proceedings/XXXVI/3-W49/PartA/papers/19_pia07.pdf Format de la ressource électronique : URL Sommaire Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=92361 Documents numériques
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Digital terrain model... - pdf éditeurAdobe Acrobat PDF
Titre : Extraction of landcover themes out of aerial orthoimages in mountainous areas using external information Type de document : Article/Communication Auteurs : Arnaud Le Bris Editeur : International Society for Photogrammetry and Remote Sensing ISPRS Année de publication : 2007 Collection : International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, ISSN 1682-1750 num. 36-3-W49 Conférence : PIA 2007, ISPRS Conference on Photogrammetric Image Analysis 19/09/2007 21/09/2007 Munich Allemagne ISPRS OA Archives Importance : pp 123 - 128 Format : 21 x 30 cm Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] actualité des données
[Termes IGN] base de données localisées IGN
[Termes IGN] carte de base
[Termes IGN] classification basée sur les régions
[Termes IGN] équilibrage radiométrique
[Termes IGN] extraction de la végétation
[Termes IGN] fusion d'images
[Termes IGN] image aérienne
[Termes IGN] incertitude géométrique
[Termes IGN] modèle numérique de terrain
[Termes IGN] montagne
[Termes IGN] occupation du sol
[Termes IGN] ombre
[Termes IGN] orthoimage
[Termes IGN] relief
[Termes IGN] valeur radiométriqueRésumé : (auteur) In mountainous areas, the landcover extraction out of orthoimages through semi-automatic classification is limited by several factors (such as large shadow areas, radiometric similarities between different themes, inhomogeneous radiometry among regions of the same class...). Image information is not sufficient to separate the different classes. Nevertheless, good results can be obtained by dividing each landcover class “c” into two subclasses “c in shadow” / “c not in shadow” and introducing external information in the classification process. This information can be an older or more generalized database, geographic knowledge concerning the links between relief and landcover, or prior information concerning shadows. This external knowledge is then interpreted in terms of a priori probabilities and merged with radiometric information from the image in a MAP per region classification process. Besides, the results can also be improved by the use of combinations of channels calculated from the initial image. Numéro de notice : C2007-032 Affiliation des auteurs : MATIS (1993-2011) Thématique : IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : sans En ligne : https://www.isprs.org/proceedings/XXXVI/3-W49/PartA/papers/123_pia07.pdf Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=92362 Documents numériques
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Extraction of landcover... - pdf éditeurAdobe Acrobat PDF
Titre : Rectangular road marking detection with marked point processes Type de document : Article/Communication Auteurs : Olivier Tournaire Editeur : International Society for Photogrammetry and Remote Sensing ISPRS Année de publication : 2007 Collection : International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, ISSN 1682-1750 num. 36-3-W49 Conférence : PIA 2007, ISPRS Conference on Photogrammetric Image Analysis 19/09/2007 21/09/2007 Munich Allemagne ISPRS OA Archives Importance : pp 149 - 154 Format : 21 x 30 cm Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] algorithme du recuit simulé
[Termes IGN] algorithme RJMCMC
[Termes IGN] extraction de traits caractéristiques
[Termes IGN] image à très haute résolution
[Termes IGN] image aérienne
[Termes IGN] méthode de Monte-Carlo par chaînes de Markov
[Termes IGN] méthode de réduction d'énergie
[Termes IGN] processus ponctuel marqué
[Termes IGN] processus stochastique
[Termes IGN] reconnaissance de formes
[Termes IGN] signalisation routière
[Termes IGN] zone urbaineRésumé : (auteur) We propose in this article an energy minimization based approach to detect dashed lines of road markings from very high resolution aerial images ( Numéro de notice : C2007-033 Affiliation des auteurs : MATIS (1993-2011) Thématique : IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : sans En ligne : https://www.isprs.org/proceedings/XXXVI/3-W49/PartA/papers/149_pia07.pdf Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=92363 Documents numériques
en open access
Rectangular Road... - pdf éditeurAdobe Acrobat PDF
