Détail de l'auteur
Auteur N. Thomas |
Documents disponibles écrits par cet auteur (2)
Ajouter le résultat dans votre panier Affiner la recherche Interroger des sources externes
Automated map generalization with multiple operators: a simulated annealing approach / J. Mark Ware in International journal of geographical information science IJGIS, vol 17 n° 8 (december 2003)
[article]
Titre : Automated map generalization with multiple operators: a simulated annealing approach Type de document : Article/Communication Auteurs : J. Mark Ware, Auteur ; Christopher B. Jones, Auteur ; N. Thomas, Auteur Année de publication : 2003 Article en page(s) : pp 743 - 769 Langues : Anglais (eng) Descripteur : [Termes IGN] algorithme du recuit simulé
[Termes IGN] conflit d'espace
[Termes IGN] généralisation cartographique automatisée
[Termes IGN] généralisation géométrique (de visualisation)
[Termes IGN] itération
[Termes IGN] placement automatique des écritures
[Termes IGN] placement automatique des signes conventionnels
[Vedettes matières IGN] GénéralisationRésumé : (Auteur) This paper explores the use of the stochastic optimization technique of simulated annealing for map generalization. An algorithm is presented that performs operations of displacement, size exaggeration, deletion and size reduction of multiple map objects in order to resolve graphic conflict resulting from map scale reduction. It adopts a trial position approach in which each of n discrete polygonal objects is assigned k candidate trial positions that represent the original, displaced, size exaggerated, deleted and size reduced states of the object. This gives rise to a possible kn distinct map configurations; the expectation is that some of these configurations will contain reduced levels of graphic conflict. Finding the configuration with least conflict by means of an exhaustive search is, however, not practical for realistic values of n and k. We show that evaluation of a subset of the configurations, using simulated annealing, can result in effective resolution of graphic conflict. Numéro de notice : A2003-298 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658810310001596085 En ligne : https://doi.org/10.1080/13658810310001596085 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22594
in International journal of geographical information science IJGIS > vol 17 n° 8 (december 2003) . - pp 743 - 769[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 079-03081 RAB Revue Centre de documentation En réserve L003 Disponible A comparison of urban mapping methods using high-resolution digital imagery / N. Thomas in Photogrammetric Engineering & Remote Sensing, PERS, vol 69 n° 9 (September 2003)
[article]
Titre : A comparison of urban mapping methods using high-resolution digital imagery Type de document : Article/Communication Auteurs : N. Thomas, Auteur ; C. Hendrix, Auteur ; Russell G. Congalton, Auteur Année de publication : 2003 Article en page(s) : pp 963 - 972 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] analyse comparative
[Termes IGN] Arizona (Etats-Unis)
[Termes IGN] cartographie urbaine
[Termes IGN] classification ascendante hiérarchique
[Termes IGN] classification dirigée
[Termes IGN] classification non dirigée
[Termes IGN] image à résolution métrique
[Termes IGN] image à très haute résolution
[Termes IGN] segmentation d'imageRésumé : (Auteur) Recent advances in digital airborne sensors and satellite platforms make spatially accurate, high-resolution multispectral imagery readily available. These advances provide the opportunity for a host of new applications to address and solve problems. High-resolution imagery is particularly well suited to urban applications. Previous data sources (such as Landsat TM) did not show the spatial detail necessary to provide many urban planning solutions. This paper provides an overview of a project in which one-meter digital imagery was used to produce a map of pervious and impervious surfaces to be used by the city of Scottsdale, Arizona for storm-water estimation. The increased spatial information in one-meter or less resolution imagery strains the usefulness of image classification using traditional supervised and unsupervised spectral classification algorithms. This study assesses the accuracy of three different methods for extracting land-cover/land-use information from high-resolution imagery of urban environments : (1) combined supervised/unsupervised spectral classification, (2) raster-based spatial modeling and (3) image segmentation classification using tree analysis. A discussion of the results and relative merits of each method is included. Numéro de notice : A2003-226 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.69.9.963 En ligne : https://doi.org/10.14358/PERS.69.9.963 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22521
in Photogrammetric Engineering & Remote Sensing, PERS > vol 69 n° 9 (September 2003) . - pp 963 - 972[article]