Centre de documentation
scientifique

vol 62 n° 5 - October 2007 - Distributed geoinformatics : from sensors to systems (Bulletin de ISPRS Journal of photogrammetry and remote sensing) / Matt Duckham  

Public [n° ou bulletin]  est un bulletin de ISPRS Journal of photogrammetry and remote sensing / International society for photogrammetry and remote sensing (1980 -) (1990 -)   Titre : vol 62 n° 5 - October 2007 - Distributed geoinformatics : from sensors to systems Type de document : Périodique Auteurs : Matt Duckham, Éditeur scientifique ; Arie Croitoru, Éditeur scientifique ; International society for photogrammetry and remote sensing (1980 -), Auteur ; Peggy Agouris, Éditeur scientifique Année de publication : 2007 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie Numéro de notice : 081-0707 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Numéro de périodique En ligne : https://doi.org/10.1016/j.isprsjprs.2007.03.005 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=bulletin_display&id=9969 [n° ou bulletin]

Contient

• Integration of heterogeneous geospatial data in a federated database / Matthias Butenuth in ISPRS Journal of photogrammetry and remote sensing, vol 62 n° 5 (October 2007)  
• Intelligent map agents: an ubiquitous personalized GIS / E. Gervais in ISPRS Journal of photogrammetry and remote sensing, vol 62 n° 5 (October 2007)  
• Time geography for ad-hoc shared-ride trip planning in mobile geosensor networks / Martin Raubal in ISPRS Journal of photogrammetry and remote sensing, vol 62 n° 5 (October 2007)  

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
081-07071	SL	Revue	Centre de documentation	Revues en salle	Disponible

Orientation of ground-level motion imagery using building facades / A. Stefanidis in Photogrammetric Engineering & Remote Sensing, PERS, vol 72 n° 9 (September 2006)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 72 n° 9 (September 2006) . - pp 1061 - 1072 Titre : Orientation of ground-level motion imagery using building facades Type de document : Article/Communication Auteurs : A. Stefanidis, Auteur ; C. Georgidis, Auteur ; Peggy Agouris, Auteur Année de publication : 2006 Article en page(s) : pp 1061 - 1072 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie terrestre [Termes IGN] acquisition d'images [Termes IGN] angle de visée [Termes IGN] bati [Termes IGN] correction d'image [Termes IGN] milieu urbain [Termes IGN] orientation du capteur [Termes IGN] orientation externe [Termes IGN] prise de vue terrestre Résumé : (Auteur) In this paper, we address the orientation of ground-level motion imagery captured by sensors roaming in an urban area. We investigate the use of building façades (instead of traditional points), as matching features for ground-level motion imagery orientation. We assume a situation where few images in our sequence are already absolutely oriented, and present a novel approach to orient all remaining in between image sequences relative to them. This innovative version of dependent orientation allows us to propagate orientation information within sequences of ground level imagery, establishing a novel orientation scheme. Experimental results show accuracies on the order of 0.18 to 0.29 degrees in rotation estimation, and 0.17 to 0.29 meters in camera position determination. Copyright ASPRS Numéro de notice : A2006-383 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.72.9.1061 En ligne : https://doi.org/10.14358/PERS.72.9.1061 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28107 [article]

Reconstructing spatiotemporal trajectories from sparse data / P. Partsinevelos in ISPRS Journal of photogrammetry and remote sensing, vol 60 n° 1 (December 2005 - March 2006)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 60 n° 1 (December 2005 - March 2006) . - pp 3 - 16 Titre : Reconstructing spatiotemporal trajectories from sparse data Type de document : Article/Communication Auteurs : P. Partsinevelos, Auteur ; Peggy Agouris, Auteur ; A. Stefanidis, Auteur Année de publication : 2005 Article en page(s) : pp 3 - 16 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques [Termes IGN] analyse de groupement [Termes IGN] carte de Kohonen [Termes IGN] classification dirigée [Termes IGN] classification par réseau neuronal [Termes IGN] données spatiotemporelles [Termes IGN] modélisation spatio-temporelle [Termes IGN] objet mobile [Termes IGN] reconstruction d'itinéraire ou de trajectoire [Termes IGN] segmentation [Termes IGN] seuillage Résumé : (Auteur) In motion imagery-based tracking applications, it is common to extract locations of moving objects without any knowledge about the identity of the objects they correspond to. The identification of individual spatiotemporal trajectories from such data sets is far from trivial when these trajectories intersect in space, time, or attributes. In this paper, we present a novel approach for the reconstruction of entangled spatiotemporal trajectories of moving objects captured in motion imagery data sets. We have developed AGENT (Attribute-aided Classification of Entangled Trajectories), a novel framework that comprises classification, clustering, and neural net processes to progressively reconstruct elongated trajectories using as input spatiotemporal coordinates of image patches and corresponding attribute values. AGENT proceeds by first forming brief fragments and then linking them and adding points to them. An initial classification allows us to form brief segments corresponding to distinct objects. These segments are then linked together through clustering to form longer trajectories. Back-propagation neural network classification and geometric/self-organizing map (SOM) analysis refine these trajectories by removing misclassified and redistributing unassigned points. Thus, AGENT integrates some established classification and clustering tools to devise a novel approach that can address the tracking challenges of busy environments. Furthermore, AGENT allows us use spatiotemporal (ST) thresholds to cluster trajectories according to their spatial and temporal extent. In the paper, we present in detail our framework and experimental results that support the application potential of our approach. Numéro de notice : A2006-218 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2005.10.004 En ligne : https://doi.org/10.1016/j.isprsjprs.2005.10.004 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27945 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
081-06011	SL	Revue	Centre de documentation	Revues en salle	Disponible

Automated road extraction from high resolution multispectral imagery / P. Doucette in Photogrammetric Engineering & Remote Sensing, PERS, vol 70 n° 12 (December 2004)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 70 n° 12 (December 2004) . - pp 1405 - 1416 Titre : Automated road extraction from high resolution multispectral imagery Type de document : Article/Communication Auteurs : P. Doucette, Auteur ; Peggy Agouris, Auteur ; A. Stefanidis, Auteur Année de publication : 2004 Article en page(s) : pp 1405 - 1416 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique [Termes IGN] axe médian [Termes IGN] bande infrarouge [Termes IGN] banlieue [Termes IGN] classification dirigée [Termes IGN] extraction automatique [Termes IGN] extraction du réseau routier [Termes IGN] image à haute résolution [Termes IGN] image en couleur [Termes IGN] image multibande [Termes IGN] logique floue [Termes IGN] milieu urbain [Termes IGN] parallélisme [Termes IGN] topologie Résumé : (Auteur) This work presents a novel methodology for fully automated road centerline extraction that exploits spectral content from high resolution multispectral images. Preliminary detection of candidate road centerline components is performed with Anti-parallel-edge Centerline Extraction (ACE). This is followed by constructing a road vector topology with a fuzzy grouping model that links nodes from a self-organized mapping of the ACE components. Following topology construction, a Self-Supervised Road Classification (SSRC) feedback loop is implemented to automate the process of training sample selection and refinement for a road class, as well as deriving practical spectral definitions for non-road classes. SSRC demonstrates a potential to provide dramatic improvement in road extraction results by exploiting spectral content. Road centerline extraction results are presented for three 1 m color infrared suburban scenes which show significant improvement following SSRC. Numéro de notice : A2004-502 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.70.12.1405 En ligne : https://doi.org/10.14358/PERS.70.12.1405 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27019 [article]

Scale and orientation-invariant scene similarity metrics for image queries / A. Stefanidis in International journal of geographical information science IJGIS, vol 16 n° 8 (december 2002)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 16 n° 8 (december 2002) . - pp 749 - 772 Titre : Scale and orientation-invariant scene similarity metrics for image queries Type de document : Article/Communication Auteurs : A. Stefanidis, Auteur ; Peggy Agouris, Auteur ; C. Georgiadis, Auteur ; Michela Bertolotto, Auteur ; James D. Carswell, Auteur Année de publication : 2002 Article en page(s) : pp 749 - 772 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image [Termes IGN] analyse numérique [Termes IGN] ligne de base [Termes IGN] photo-interprétation assistée par ordinateur [Termes IGN] rectangle englobant minimum [Termes IGN] relation topologique [Termes IGN] requête (informatique) [Termes IGN] similitude [Termes IGN] variation d'échelle Résumé : (Auteur) In this paper, we extend our previous work on shapebased queries to support queries on configurations of image objects. Here we consider spatial reasoning, especially directional and metric object relationships. Existing models for spatial reasoning tend to rely on pre-identified cardinal directions and minimal scale variations, assumptions that cannot be considered as given in our image applications, where orientations and scale may vary substantially, and are often unknown. Accordingly, we have developed the method of varying baselines to identify similarities in direction and distance relations. Our method allows us to evaluate directional similarities without a priori knowledge of cardinal directions, and to compare distance relations even when query scene and database content differ in scale by unknown amounts. We use our method to evaluate similarity between a userdefined query scene and object configurations. Here we present this new method, and discuss its role within a broader image retrieval framework. Numéro de notice : A2002-258 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1080/13658810210148552 En ligne : https://doi.org/10.1080/13658810210148552 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22169 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
079-02081	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Integrated spatial data bases / Peggy Agouris (1999)

Permalink

Automatic extraction of man-made objects from aerial and space images / Armin W. Gruen (1995)  

Permalink