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Pattern matching for heterogeneous geodata sources using attributed relational graph and probabilistic relaxation / S. Yi in Photogrammetric Engineering & Remote Sensing, PERS, vol 73 n° 6 (June 2007)
[article]
Titre : Pattern matching for heterogeneous geodata sources using attributed relational graph and probabilistic relaxation Type de document : Article/Communication Auteurs : S. Yi, Auteur ; B. Huang, Auteur ; C. Wang, Auteur Année de publication : 2007 Article en page(s) : pp 663 - 670 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] appariement de formes
[Termes IGN] données hétérogènes
[Termes IGN] données multisources
[Termes IGN] graphe relationnel
[Termes IGN] information sémantique
[Termes IGN] modèle sémantique de donnéesRésumé : (Auteur) Information retrieval and intelligent search among heterogeneous data sources still continue to be challenging tasks. In this study, an attributed relational graph was employed to model the semantic information of heterogeneous geodata sources. Based on the attributed relational graphs, probabilistic relaxation was employed for pattern matching between different data sources. The initial probability and compatibility coefficients were calculated based on the combined evidence from semi-structured geodata sources and the characteristics of discrete and categorical variables. Experiments on automatic pattern matching were carried out and the results demonstrated the effectiveness of the proposed approach in element mapping between heterogeneous data sources. Copyright ASPRS Numéro de notice : A2007-297 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.73.6.663 En ligne : http://dx.doi.org/10.14358/PERS.73.6.663 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28660
in Photogrammetric Engineering & Remote Sensing, PERS > vol 73 n° 6 (June 2007) . - pp 663 - 670[article]Automated sensor block adjustment and local satellite positioning: benefits and perspectives for mapping applications / A. Le Guellec in Revue Française de Photogrammétrie et de Télédétection, n° 185 (Mars 2007)
[article]
Titre : Automated sensor block adjustment and local satellite positioning: benefits and perspectives for mapping applications Type de document : Article/Communication Auteurs : A. Le Guellec, Auteur Année de publication : 2007 Conférence : ISPRS 2006, Commission 1 Symposium, From sensors to imagery 03/07/2006 06/07/2006 Champs-sur-Marne [Paris Marne-la-Vallée] France OA ISPRS Archives Article en page(s) : pp 31 - 38 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s)
[Termes IGN] compensation par bloc
[Termes IGN] données multisources
[Termes IGN] géoréférencement direct
[Termes IGN] GPS-INS
[Termes IGN] image à très haute résolution
[Termes IGN] image aérienne
[Termes IGN] image SPOT 5
[Termes IGN] orbitographie par GNSS
[Termes IGN] point d'appui
[Termes IGN] précision géométrique (imagerie)Résumé : (Auteur) Rigorous satellite and airborne sensor models are nowadays commonly used to set accurate mapping applications trough accurate geodesy and ground cartography. Last decade improvement have enlightened the cartography community to the performance of such physical models to improve the map accuracy to a metric -or better- cartographic accuracy limit depending on the sensor type, math model robustness, ground control point quality and error dispersion control throughout the block adjustment of large image sets. Such operations allow to produce maps from high and very high resolutions sensors, optical and SAR in different contexts and for multiples applications such as urban mapping, rural land registration, precision farming... Nevertheless, this methodology still involves some limits in the case this is wether partly farther not possible to obtain a reliable enough positional ground reference associated to the mapping project. Various orbital and ground geodetic location systems are now commonly used among earth observation satellites, such as GPS and DORIS. Some recent experimental and operational works that uses an original methodology still based on a rigorous sensor model and the support of a robust block adjustment have proven the ability to recombine series of sensor images on several orbits or flight paths. These tied together with the preservation of the sensor model, its refined earth position and support of a reliable digital elevation model, allow to georeference image blocks based on the internal airborne / spaceborne ground coordinates processed by the operator trough the satellite positioning system. Such refined ground controls and a physical rigorous sensor model association now enables image block georeferencing to the ground with a final accuracy compatible enough with mapping standards even without reliable ground planimetric reference (GCP). Several mapping tests controlled with various aerial, optical and SAR satellite sensors, such as Ikonos, Quickbird, Orbview-3, Envisat ASAR and SPOT 5, the Vexcel UltraCAM-D digital airborne camera along with IMU and GPS, as well as ground reference sources have proven that such methodology and resulting processed imagery makes possible the use of high and very high resolution satellite imagery for a much wider application field, such as marine cartography, accurately geo-positioned defense imagery recognition on remote or not accessible locations. Our scope is precisely to determine which methodology used among those described sensors would apply to which case with error dispersion control capability or not, to validate such a mapping methodology and process, and finally foresee the possible applications field for the mapping industry. Copyright SFPT Numéro de notice : A2007-398 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : sans En ligne : https://www.isprs.org/proceedings/XXXVI/part1/Papers/PS1-03.pdf Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28761
in Revue Française de Photogrammétrie et de Télédétection > n° 185 (Mars 2007) . - pp 31 - 38[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 018-07011 RAB Revue Centre de documentation En réserve L003 Disponible Second GI4DM symposium / Sisi Zlatanova in GIM international, vol 21 n° 1 (January 2007)
[article]
Titre : Second GI4DM symposium Type de document : Article/Communication Auteurs : Sisi Zlatanova, Auteur ; S. Nayak, Auteur Année de publication : 2007 Article en page(s) : pp 38 - 39 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Environnement
[Termes IGN] analyse de données
[Termes IGN] cindynique
[Termes IGN] diffusion de l'information
[Termes IGN] données multisources
[Termes IGN] information géographique
[Termes IGN] prévention des risques
[Termes IGN] risque naturel
[Termes IGN] risque technologique
[Termes IGN] visualisation de donnéesRésumé : (Auteur) Geo-information technologies are able to support management and recovery in the aftermath of manmade and natural disasters. However, disaster management also poses big challenges in all aspects of the geo-information cycle, from data collection to visualisation and communication. For the second time, the International Symposium on Geo-information for Disaster Management (Gi4DM) brought together researchers, developers, data providers and users from all over the world to discuss these challenges. Copyright Reed Business Information Numéro de notice : A2007-007 Affiliation des auteurs : non IGN Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28373
in GIM international > vol 21 n° 1 (January 2007) . - pp 38 - 39[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 061-07011 SL Revue Centre de documentation Revues en salle Disponible Automatically conflating road vector data with orthoimagery / C.C. Chen in Geoinformatica, vol 10 n° 4 (December 2006)
[article]
Titre : Automatically conflating road vector data with orthoimagery Type de document : Article/Communication Auteurs : C.C. Chen, Auteur ; Craig A. Knoblock, Auteur ; C. Shabani, Auteur Année de publication : 2006 Article en page(s) : pp 495 - 530 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] appariement de modèles conceptuels de données
[Termes IGN] automatisation
[Termes IGN] Californie (Etats-Unis)
[Termes IGN] cohérence des données
[Termes IGN] conflation
[Termes IGN] données multisources
[Termes IGN] données vectorielles
[Termes IGN] fusion de données multisource
[Termes IGN] intégration de données
[Termes IGN] Montana (Etats-Unis)
[Termes IGN] orthoimage
[Termes IGN] point d'appui
[Termes IGN] réseau routierRésumé : (Auteur) Recent growth of the geospatial information on the web has made it possible to easily access a wide variety of spatial data. The ability to combine various sets of geospatial data into a single composite dataset has been one of central issues of modern geographic information processing. By conflating diverse spatial datasets, one can support a rich set of queries that could have not been answered given any of these sets in isolation. However, automatically conflating geospatial data from different data sources remains a challenging task. This is because geospatial data obtained from various data sources may have different projections, different accuracy levels and different formats (e.g., raster or vector format), thus resulting in various positional inconsistencies. Most of the existing algorithms only deal with vector to vector data conflation or require human intervention to accomplish vector data to imagery conflation. In this paper, we describe a novel geospatial data fusion approach, named AMS-Conflation, which achieves automatic vector to imagery conflation. We describe an efficient technique to automatically generate control point pairs from the orthoimagery and vector data by exploiting the information from the vector data to perform localized image processing on the orthoimagery. We also evaluate a filtering technique to automatically eliminate inaccurate pairs from the generated control points. We show that these conflation techniques can automatically align the roads in orthoimagery, such that 75% of the conflated roads are within 3.6 meters from the real road axes compared to 35% for the original vector data for partial areas of the county of St. Louis, MO. Copyright Springer Numéro de notice : A2006-549 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1007/s10707-006-0344-6 En ligne : https://doi.org/10.1007/s10707-006-0344-6 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28272
in Geoinformatica > vol 10 n° 4 (December 2006) . - pp 495 - 530[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 057-06041 RAB Revue Centre de documentation En réserve L003 Disponible A spectral and spatial source separation of multispectral images / M.A. Loghmari in IEEE Transactions on geoscience and remote sensing, vol 44 n° 12 (December 2006)
[article]
Titre : A spectral and spatial source separation of multispectral images Type de document : Article/Communication Auteurs : M.A. Loghmari, Auteur ; Mohamed Saber Naceur, Auteur ; Mohamed-Rached Boussema, Auteur Année de publication : 2006 Article en page(s) : pp 3659 - 3673 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] classification bayesienne
[Termes IGN] données multisources
[Termes IGN] hétérogénéité
[Termes IGN] image multibande
[Termes IGN] occupation du sol
[Termes IGN] segmentation d'image
[Termes IGN] séparabilité
[Termes IGN] signature spectraleRésumé : (Auteur) This paper deals with the problem of blind source separation of remote sensing data based on a Bayesian estimation framework. We consider the case of multispectral images in which we have observed images of the same zone through different spectral bands. The land cover types existing in the scanned zone constitute the sources to separate. Associating each source to a specific significant theme remains the real challenge in the source-separation method applied to satellite images. In fact, multispectral images consist of multiple channels, each channel containing data acquired from different bands within the frequency spectrum. Since most objects emit or reflect energy over a large spectral bandwidth, there usually exists a significant correlation between channels. This constitutes the first difficulty for sources identification. The second difficulty lies in the heterogeneity of most of the geological and vegetative ground surfaces. In this case, the geometrical projection of a single detector element at the Earth's surface, which is sometimes called the instantaneous field of view, is formed from a mixture of spectral signatures. In such circumstances, the needed information is either not available or not reliable. In this paper, the goal is to establish a new approach based on a two-level source separation (TLSS), which consists of a spectral separation along the different used bands and a spatial separation along neighboring pixels of each image band. The spectral separation has been used prior to the Bayesian approach, and it is based on a second-order statistics approach that exploits the correlation through different spectral bands of the multispectral sensor. The given images are represented according to independent axes that provide more effective representation of the information within the observation images. The spectral separation consists of identifying the sources without resorting to any a priori information, hence the term blind. The obtained source-separation represent the starting point for the Bayesian approach, which is known for its weakness in front of initial conditions. To identify a significant theme for each source, we have to spatially separate each image based on a Bayesian source-separation framework. The proposed approach has the added advantages of the blind source method as well as the Bayesian method. It should give segmented images related to each theme covering the scanned zone, which are the TLSS results of the observation images. Copyright IEEE Numéro de notice : A2006-559 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2006.882261 En ligne : https://doi.org/10.1109/TGRS.2006.882261 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28282
in IEEE Transactions on geoscience and remote sensing > vol 44 n° 12 (December 2006) . - pp 3659 - 3673[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-06121 RAB Revue Centre de documentation En réserve L003 Disponible Parcours itinéraire méthodologique de diagnostic de territoire : exploration par un navigateur / Sylvie Lardon in Revue internationale de géomatique, vol 16 n° 2 (juin – août 2006)PermalinkAutomatic extraction of wind erosion obstacles by integration of GIS data, DSM and stereo images / Y. Zhang in International Journal of Remote Sensing IJRS, vol 27 n°7-8 (April 2006)PermalinkGoogle Earth, what GI professionals can gain from it / A.J. Duindam in GIM international, vol 20 n° 4 (April 2006)PermalinkPermalinkApplications géodésiques du système DORIS à l'Institut Géographique National / Pascal Willis in Comptes rendus : Géoscience, vol 337 n° 7 (May 2005)PermalinkSemi-automatic registration of multi-source satellite imagery with varying geometric resolutions / A. Habib in Photogrammetric Engineering & Remote Sensing, PERS, vol 71 n° 3 (March 2005)PermalinkWeb-based GIS: integrating geo-data from multiple sources / W. Ploeg in GIM international, vol 19 n° 3 (March 2005)PermalinkA feature-based approach to conflation of geospatial sources / Ashok Samal in International journal of geographical information science IJGIS, vol 18 n° 5 (august 2004)PermalinkThe beginning of a logical semantics framework for the integration of thematic map data / N. Wilson in International journal of geographical information science IJGIS, vol 18 n° 4 (june 2004)PermalinkArchitecture d'un système d'information géographique mobile / Alain Bouju in Revue internationale de géomatique, vol 13 n° 2 (juin - aout 2003)Permalink