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Use of unsupervised classification for the determination of prevailing land use typology / Miha Konjar in Geodetski vestnik, vol 61 n° 4 (December 2017 - February 2018)  

Public [article]  inGeodetski vestnik > vol 61 n° 4 (December 2017 - February 2018) . - pp 541 - 581 Titre : Use of unsupervised classification for the determination of prevailing land use typology Type de document : Article/Communication Auteurs : Miha Konjar, Auteur ; Alma Zavodnik Lamovsek, Auteur ; Dejan Grigillo, Auteur Année de publication : 2017 Article en page(s) : pp 541 - 581 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] agrégation spatiale [Termes IGN] classification non dirigée [Termes IGN] complexité [Termes IGN] densité de population [Termes IGN] données socio-économiques [Termes IGN] image numérique [Termes IGN] indicateur spatial [Termes IGN] occupation du sol [Termes IGN] Slovénie [Termes IGN] utilisation du sol [Termes IGN] zone homogène Résumé : (Auteur) This paper presents classification methods that enable the division of space into homogeneous areas that combine the spatial characteristics with influence on land use and changes thereof. It was determined that the existing methods do not always include the criteria needed for the aggregation of spatial units into homogeneous groups. The results of the analysis showed that the identified homogenous groups do not fully capture the spatial complexity and diversity important for land use change analyses. For this reason, a new approach to the classification of spatial units based on the unsupervised classification of digital images was proposed. The methodology includes the selection of appropriate indicators, that consider land use more comprehensively and thus enable better classification results. The use of the unsupervised classification method for prevailing land use typology has been tested in Slovenia. At the municipal level, seven types of prevailing land use were identified. Numéro de notice : A2017-777 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.15292//geodetski-vestnik.2017.04.541-581 En ligne : http://www.geodetski-vestnik.com/61/4/gv61-4_konjar.pdf Format de la ressource électronique : URL Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=88981 [article]

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