Descripteur
Documents disponibles dans cette catégorie (1829)
Ajouter le résultat dans votre panier
Visionner les documents numériques
Affiner la recherche Interroger des sources externes
Etendre la recherche sur niveau(x) vers le bas
Qualitative spatial reasoning for high-resolution remote sensing image analysis / Jordi Inglada in IEEE Transactions on geoscience and remote sensing, vol 47 n° 2 (February 2009)
[article]
Titre : Qualitative spatial reasoning for high-resolution remote sensing image analysis Type de document : Article/Communication Auteurs : Jordi Inglada, Auteur ; Jérôme Michel, Auteur Année de publication : 2009 Article en page(s) : pp 599 - 612 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] analyse d'image numérique
[Termes IGN] appariement de graphes
[Termes IGN] connexité (graphes)
[Termes IGN] détection automatique
[Termes IGN] image à haute résolution
[Termes IGN] objet géographique complexe
[Termes IGN] raisonnement spatial
[Termes IGN] relation topologiqueRésumé : (Auteur) High-resolution (HR) remote-sensing images allow us to access new kinds of information. Classical techniques for image analysis, such as pixel-based classifications or region-based segmentations, do not allow to fully exploit the richness of this kind of images. Indeed, for many applications, we are interested in complex objects which can only be identified and analyzed by studying the relationships between the elementary objects which compose them. In this paper, the use of a spatial reasoning technique called region connection calculus for the analysis of HR remote-sensing images is presented. A graph-based representation of the spatial relationships between the regions of an image is used within a graph-matching procedure in order to implement an object detection algorithm. Numéro de notice : A2009-024 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2008.2003435 En ligne : https://doi.org/10.1109/TGRS.2008.2003435 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29654
in IEEE Transactions on geoscience and remote sensing > vol 47 n° 2 (February 2009) . - pp 599 - 612[article]Réservation
Réserver ce documentExemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 065-09021 RAB Revue Centre de documentation En réserve L003 Disponible Unsing spatial continuity and discontinuity information to retrieve geographic entities / Z. Xie in Geocarto international, vol 24 n° 1 (February - March 2009)
[article]
Titre : Unsing spatial continuity and discontinuity information to retrieve geographic entities Type de document : Article/Communication Auteurs : Z. Xie, Auteur ; L. Bian, Auteur Année de publication : 2009 Article en page(s) : pp 3 - 23 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] détection de contours
[Termes IGN] discontinuité
[Termes IGN] objet géographique
[Termes IGN] photographie aérienne
[Termes IGN] photographie numérique
[Termes IGN] reconnaissance d'objets
[Termes IGN] variogrammeRésumé : (Auteur) This paper presents three methods for representing spatial properties of geographic entity types in order to retrieve digital aerial photographs that contain these types. The three methods are semivariogram, edge tracing and an integration of the two methods. The first two methods are used to represent spatial continuity and spatial discontinuity information, respectively, associated with geographic entities, while the integrated method is used to represent both properties. The three methods are used to retrieve seven land cover types; factories, shopping centres, highways, forest, farmland, grasses and residential areas. Results show that between the two independent methods, the semivariogram method generally produces higher retrieval precision and more consistency across the seven types than the edge tracing method. The integrated method considerably outperforms the two independent methods. Copyright Taylor & Francis Numéro de notice : A2009-021 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106040801995828 Date de publication en ligne : 27/07/2009 En ligne : https://doi.org/10.1080/10106040801995828 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29651
in Geocarto international > vol 24 n° 1 (February - March 2009) . - pp 3 - 23[article]Réservation
Réserver ce documentExemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 059-09011 RAB Revue Centre de documentation En réserve L003 Disponible An unsupervised hierarchical segmentation of a facade building image in elementary 2D-models / Jean-Pascal Burochin (2009)
contenu dans CMRT09 Object extraction for 3D city models, road databases and traffic monitoring-concepts, algorithms and evaluation / Uwe Stilla (2009)
Titre : An unsupervised hierarchical segmentation of a facade building image in elementary 2D-models Type de document : Article/Communication Auteurs : Jean-Pascal Burochin , Auteur ; Nicolas Paparoditis , Auteur ; Olivier Tournaire , Auteur Editeur : International Society for Photogrammetry and Remote Sensing ISPRS Année de publication : 2009 Collection : International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, ISSN 1682-1750 num. 38-3-W4 Conférence : CMRT 2009, City Models, Roads and Traffic, Object extraction for 3D city models, road databases, traffic monitoring 03/09/2009 04/09/2009 Paris France OA ISPRS Archives Importance : pp 223 - 228 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] extraction de traits caractéristiques
[Termes IGN] façade
[Termes IGN] image terrestre
[Termes IGN] modélisation 2D
[Termes IGN] segmentation d'image
[Termes IGN] texture d'imageRésumé : (Auteur) We introduce a new unsupervised segmentation method adapted to describe façade shapes from a single calibrated street level image. The image is first rectified thanks to its vanishing points to facilitate the extraction of facade main structures which are characterized by a horizontal and vertical gradient accumulation which enhances the detection of repetitive structures. Our aim is to build a hierarchy of rectangular regions bounded by the local maxima of the gradient accumulation. The algorithm recursively splits horizontally or vertically the image into two parts by maximizing the total length of regular edges until the radiometric content of the region hypothesis corresponds to a given model (planar and generalized cylinders). A regular edge is a segment of a main gradient direction that effectively matches to a contour of the image. This segmentation could be an interesting tool for facade modelling and is in particular well suited for facade texture compression. Numéro de notice : C2009-013 Affiliation des auteurs : MATIS (1993-2011) Thématique : IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : sans En ligne : https://www.isprs.org/proceedings/XXXVIII/3-W4/pub/CMRT09_223.pdf Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=65053 Application of spectral decomposition algorithm for mapping water quality in a turbid lake (Lake Kasumigaura, Japan) from Landsat TM data / Y. Oyama in ISPRS Journal of photogrammetry and remote sensing, vol 64 n° 1 (January - February 2009)
[article]
Titre : Application of spectral decomposition algorithm for mapping water quality in a turbid lake (Lake Kasumigaura, Japan) from Landsat TM data Type de document : Article/Communication Auteurs : Y. Oyama, Auteur ; B. Matsushita, Auteur ; et al., Auteur Année de publication : 2009 Article en page(s) : pp 73 - 85 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse diachronique
[Termes IGN] analyse discriminante
[Termes IGN] analyse linéaire des mélanges spectraux
[Termes IGN] décomposition d'image
[Termes IGN] image Landsat-TM
[Termes IGN] Japon
[Termes IGN] lac
[Termes IGN] matière organique
[Termes IGN] modélisation radiométrique de prise de vue
[Termes IGN] qualité des eaux
[Termes IGN] sédiment
[Termes IGN] turbidité des eauxRésumé : (Auteur) The remote sensing of Case 2 water has been far less successful than that of Case 1 water, due mainly to the complex interactions among optically active substances (e.g., phytoplankton, suspended sediments, colored dissolved organic matter, and water) in the former. To address this problem, we developed a spectral decomposition algorithm (SDA), based on a spectral linear mixture modeling approach. Through a tank experiment, we found that the SDA-based models were superior to conventional empirical models (e.g. using single band, band ratio, or arithmetic calculation of band) for accurate estimates of water quality parameters. In this paper, we develop a method for applying the SDA to Landsat-5 TM data on Lake Kasumigaura, a eutrophic lake in Japan characterized by high concentrations of suspended sediment, for mapping chlorophyll-a (Chl-a) and non-phytoplankton suspended sediment (NPSS) distributions. The results show that the SDA-based estimation model can be obtained by a tank experiment. Moreover, by combining this estimation model with satellite-SRSs (standard reflectance spectra : i.e., spectral endmembers) derived from biooptical modeling, we can directly apply the model to a satellite image. The same SDA-based estimation model for Chl-a concentration was applied to two Landsat-5 TM images, one acquired in April 1994 and the other in February 2006. The average Chl-a estimation error between the two was 9.9%, a result that indicates the potential robustness of the SDA-based estimation model. The average estimation error of NPSS concentration from the 2006 Landsat-5 TM image was 15.9%. The key point for successfully applying the SDA-based estimation model to satellite data is the method used to obtain a suitable satellite-SRS for each end-member. Numéro de notice : A2009-029 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2008.04.005 En ligne : https://doi.org/10.1016/j.isprsjprs.2008.04.005 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29659
in ISPRS Journal of photogrammetry and remote sensing > vol 64 n° 1 (January - February 2009) . - pp 73 - 85[article]Réservation
Réserver ce documentExemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 081-09011 SL Revue Centre de documentation Revues en salle Disponible Automatic revision of 2D building databases from high resolution satellite imagery : a 3D photogrammetric approach / Nicolas Champion (2009)
contenu dans Advances in GIScience, Proceedings of the 12th AGILE Conference [AGILE 2009] / Monika Sester (2009)
Titre : Automatic revision of 2D building databases from high resolution satellite imagery : a 3D photogrammetric approach Type de document : Article/Communication Auteurs : Nicolas Champion , Auteur ; Georges Stamon, Auteur ; Marc Pierrot-Deseilligny , Auteur Editeur : Berlin, Heidelberg, Vienne, New York, ... : Springer Année de publication : 2009 Conférence : AGILE 2009, 12th International Conference on Geographic Information Science 02/06/2009 05/06/2009 Hanovre Allemagne Proceedings Springer Importance : 23 p. Format : 21 X 30 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] appariement automatique
[Termes IGN] appariement géométrique
[Termes IGN] base de données localisées
[Termes IGN] bati
[Termes IGN] détection de changement
[Termes IGN] données localisées 2D
[Termes IGN] exhaustivité des données
[Termes IGN] extraction de traits caractéristiques
[Termes IGN] image à très haute résolution
[Termes IGN] méthode robuste
[Termes IGN] mise à jour de base de données
[Termes IGN] modèle numérique de surface
[Termes IGN] primitive géométrique
[Termes IGN] simulation PleiadesRésumé : (Auteur) Among all the issues involved in Geographic Information Science, automating the update of 2D building databases is a crucial and challenging issue. Such an update usually starts out with a manual change detection process. The main goal of this paper is to present a new method to automate the detection of changes in a 2D building database, starting from satellite images. The workflow of our approach is divided into 2 phases. Primitives, extracted from multiple images or from a correlation Digital Surface Model (DSM), are firstly collected for each building and matched with primitives derived from the existing database to achieve a final decision about acceptance or rejection. A specific algorithm, based on the DSM and a computed Digital Terrain Model (DTM), is subsequently used to extract new buildings. The method is here introduced and tested in two test areas, very different regarding the land use and topography. The out-comes of the method are assessed and show the good performance of our system, especially in terms of completeness, robustness and transferability. Numéro de notice : C2009-040 Affiliation des auteurs : MATIS+Ext (1993-2011) Thématique : IMAGERIE Nature : Communication DOI : 10.1007/978-3-642-00318-9_3 En ligne : https://doi.org/10.1007/978-3-642-00318-9_3 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=64284 Documents numériques
peut être téléchargé
Automatic revision of 2D building databases ... - pdf auteurAdobe Acrobat PDF Building footprint database improvement for 3D reconstruction : a direction aware split and merge approach / Bruno Vallet (2009)PermalinkBundle adjustment and pose estimation of images of a multiframe panoramic camera / Bertrand Cannelle (2009)PermalinkPermalinkClassifications hiérarchiques orientées objet / Olivier de Joinville (2009)PermalinkCMRT09 Object extraction for 3D city models, road databases and traffic monitoring-concepts, algorithms and evaluation / Uwe Stilla (2009)PermalinkCMRT09, Object extraction for 3D city models, road databases and traffic monitoring-concepts, algorithms and evaluation / Uwe Stilla (2009)PermalinkDétection et caractérisation de la végétation en milieu urbain à partir d'images aériennes haute résolution / Corina Iovan (2009)PermalinkDetection of unregistered buildings for updating 2D databases / European Spatial Data Research EuroSDR (2009)PermalinkExtracting 3D polyhedral building models from aerial images using a featureless and direct approach / Fadi Dornaika (2009)PermalinkExtracting building footprint from 3D point clouds using terrestrial laser scanning at street level / Karim Hammoudi (2009)Permalink