Centre de documentation
scientifique

Comparing image-based methods for assessing visual clutter in generalized maps / Guillaume Touya in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol II-3 W5 (October 2015)  

Public [article]  inISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences > vol II-3 W5 (October 2015) . - pp 227 - 233 Titre : Comparing image-based methods for assessing visual clutter in generalized maps Type de document : Article/Communication Auteurs : Guillaume Touya , Auteur ; Blandine Decherf, Auteur ; Mayeul Lalanne, Auteur ; Marion Dumont , Auteur Année de publication : 2015 Conférence : ISPRS 2015, Geospatial Week : Laserscanning, ISSDQ, CMRT, ISA, GeoVIS, GeoBigData 28/09/2015 03/10/2015 La Grande Motte France ISPRS OA Annals Article en page(s) : pp 227 - 233 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] arbre quadratique [Termes IGN] carte dérivée [Termes IGN] complexité de la carte [Termes IGN] entropie [Termes IGN] généralisation cartographique automatisée [Termes IGN] lisibilité perceptive [Termes IGN] qualité de généralisation [Vedettes matières IGN] Généralisation Mots-clés libres : Map Generalization  Clutter  Complexity  Cartography  Legibility  Constraints  Scale Résumé : (auteur) Map generalization abstracts and simplifies geographic information to derive maps at smaller scales. The automation of map generalization requires techniques to evaluate the global quality of a generalized map. The quality and legibility of a generalized map is related to the complexity of the map, or the amount of clutter in the map, i.e. the excessive amount of information and its disorganization. Computer vision research is highly interested in measuring clutter in images, and this paper proposes to compare some of the existing techniques from computer vision, applied to generalized maps evaluation. Four techniques from the literature are described and tested on a large set of maps, generalized at different scales: edge density, subband entropy, quad tree complexity, and segmentation clutter. The results are analyzed against several criteria related to generalized maps, the identification of cluttered areas, the preservation of the global amount of information, the handling of occlusions and overlaps, foreground vs background, and blank space reduction. Numéro de notice : A2015--056 Affiliation des auteurs : LASTIG COGIT (2012-2019) Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.5194/isprsannals-II-3-W5-227-2015 Date de publication en ligne : 18/08/2015 En ligne : https://doi.org/10.5194/isprsannals-II-3-W5-227-2015 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=83463 [article]