Descripteur
Termes IGN > cartographie > rédaction cartographique > habillage cartographique > échelle cartographique > 1:1.000
1:1.000Voir aussi |
Documents disponibles dans cette catégorie (2)
Ajouter le résultat dans votre panier Affiner la recherche Interroger des sources externes
Etendre la recherche sur niveau(x) vers le bas
Aerial survey of the Maldives / V. Raghu Venkataraman in GIM international, vol 22 n° 8 (August 2008)
[article]
Titre : Aerial survey of the Maldives Type de document : Article/Communication Auteurs : V. Raghu Venkataraman, Auteur ; P. Srinivas, Auteur ; C.V. Jagannadha Rao, Auteur Année de publication : 2008 Article en page(s) : pp 17 - 17 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique
[Termes IGN] 1:1.000
[Termes IGN] 1:25.000
[Termes IGN] acquisition de données
[Termes IGN] carte topographique
[Termes IGN] Maldives, archipel des
[Termes IGN] positionnement par GPS
[Termes IGN] système d'information géographique
[Termes IGN] World Geodetic System 1984Résumé : (Auteur) The april issue 2008 of GIM International summarised a project to map the Maldives as an example of how aerial photogrammetry is today applied for mapping large, complex areas. The authors provide further details of the Maldives project, its biggest achievement being first-time-ever 1:25000 topographic maps of the entire country and 1:1000 maps of sixteen island. Copyright Reed Business Information Numéro de notice : A2008-286 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29279
in GIM international > vol 22 n° 8 (August 2008) . - pp 17 - 17[article]Réservation
Réserver ce documentExemplaires (1)
Code-barres Cote Support Localisation Section Disponibilité 061-08081 SL Revue Centre de documentation Revues en salle Disponible Automatische wissensbasierte Extraktion von semantischer Information aus gescannten Karten / Helmut Mayer (1994)
Titre : Automatische wissensbasierte Extraktion von semantischer Information aus gescannten Karten Titre original : [Extraction automatique d'informations sémantiques basées sur la connaissance à partir de cartes scannées] Type de document : Thèse/HDR Auteurs : Helmut Mayer, Auteur Editeur : Munich : Bayerische Akademie der Wissenschaften Année de publication : 1994 Collection : DGK - C Sous-collection : Dissertationen num. 417 Importance : 113 p. Format : 21 x 30 cm ISBN/ISSN/EAN : 978-3-7696-9461-1 Note générale : Bibliographie Langues : Allemand (ger) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique
[Termes IGN] 1:1.000
[Termes IGN] 1:5.000
[Termes IGN] Bavière (Allemagne)
[Termes IGN] carte numérisée
[Termes IGN] extraction automatique
[Termes IGN] extraction de traits caractéristiques
[Termes IGN] information sémantique
[Termes IGN] plan cadastralIndex. décimale : 33.30 Photogrammétrie numérique Résumé : (Auteur) Digital data for geographic information systems (GIS) covering large areas can only be acquired fast and with reasonable costs from existing maps. The approaches for the automation of the acquisition often result in a large amount of manual post-processing. In addition they are only suited for maps of low complexity. Therefore the goal of this thesis is the knowledge based automatic extraction of objects from the real world like buildings and roads, ie of "semantic information" from scanned maps. This means: 1- Integration of knowledge about the objects of the real world that are depicted hi the map as well as about their relations, like that roads build up networks, in the interpretation. 2- Representation und use of the knowledge by means of knowledge based methods. Thus the restriction of the existing approaches to the recognition of graphical objects like straight lines, circles, symbols or characters and their assignment to objects from the real world is overcome by additional knowledge and the performance of these approaches is exceeded. The new approach is based on a multi level model. The model comprises the levels binary image of the map, topological vector data, graphical objects and objects from the real world. For each level the contained objects and their relations are described. There also exist relations between the levels. For the application the model is represented using a semantic network. The interpretation is carried out data-driven by searching for objects of the real world as well as model-driven by using the knowledge about the objects of the real world and then- relations to seek and generate new objects. The interpretation therefore flows not only continuously from the binary image to the objects of the real world but also vice versa. The approach has been tested on a part of a Bavarian cadastral map 1 : 1000,showing an urban region and on a rural part of a Bavarian cadastral map 1 : 5000. All parcels and their corresponding numbers have been found in the given parts of the maps. For the first time pavements, roadsides and roads that are not explicitly depicted by symbols in the maps could be recognised in cadastral maps, and road-networks could be constructed. In addition all buildings were recognised in the cadastral map 1 : 1000 and all meadows in the cadastral map 1 : 5000. The results show the applicability of the approach by means of examples. The novelty of the approach lies in the modelling and use of knowledge about the objects of the real world for the automated interpretation of maps. Numéro de notice : 32839 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Thèse étrangère Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=57032 Réservation
Réserver ce documentExemplaires (2)
Code-barres Cote Support Localisation Section Disponibilité 32839-01 33.30 Livre Centre de documentation Photogrammétrie - Lasergrammétrie Disponible 32839-02 33.30 Livre Centre de documentation Photogrammétrie - Lasergrammétrie Disponible