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Identification and utilization of land-use type importance for land-use data generalization / Wenxiu Gao in Cartographic journal (the), Vol 53 n° 1 (February 2016)  

Public [article]  inCartographic journal (the) > Vol 53 n° 1 (February 2016) . - pp 31 - 42 Titre : Identification and utilization of land-use type importance for land-use data generalization Type de document : Article/Communication Auteurs : Wenxiu Gao, Auteur ; Alfred Stein, Auteur ; Li Yang, Auteur ; et al., Auteur Année de publication : 2016 Article en page(s) : pp 31 - 42 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] analyse spatiale [Termes IGN] attribut [Termes IGN] généralisation automatique de données [Termes IGN] identification automatique [Termes IGN] modèle déterministe [Termes IGN] seuillage d'image [Termes IGN] utilisation du sol [Vedettes matières IGN] Généralisation Résumé : (Auteur) A proper characterization of land-use types is critical for constructing generalization constraints to guide and control landuse data generalization. This paper focused on identification and utilization of their importance based upon land-use distributions and application themes. First, this importance was identified using a three-step method that links a diversity index, a multiple attribute decision model and a spatial association analysis. Second, with the importance, a mathematical function was designed to determine minimum area thresholds of land-use polygons as an example of generalization constraints. Third, the importance was used to assist in the selection of generalization operators and evaluation of generalization outcomes. Fourth, a land-use dataset at 1:10 000, describing the land use of a typical rural area in Hubei province of China, was generalized towards a 1:50 000 dataset to verify the effects of the presented method and function. Three additional tests were implemented to analyze the sensitivity of the importance of land-use types on setting the minimum area threshold and generalization operations. The outcome showed that the proposed methods and functions make land-use data generalization more adaptable for in-use datasets and applications. Numéro de notice : A2016-413 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1179/1743277413Y.0000000054 En ligne : http://dx.doi.org/10.1179/1743277413Y.0000000054 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81280 [article]

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Improving representation of land-use maps derived from object-oriented image classification / Wenxiu Gao in Transactions in GIS, vol 17 n° 3 (June 2013)  

Public [article]  inTransactions in GIS > vol 17 n° 3 (June 2013) . - pp 387 - 405 Titre : Improving representation of land-use maps derived from object-oriented image classification Type de document : Article/Communication Auteurs : Wenxiu Gao, Auteur ; Alfred Stein, Auteur ; Li Yang, Auteur ; et al., Auteur Année de publication : 2013 Article en page(s) : pp 387 - 405 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées [Termes IGN] carte d'occupation du sol [Termes IGN] classification orientée objet [Termes IGN] création de zone intermédiaire [Termes IGN] généralisation cartographique [Termes IGN] lissage de données [Termes IGN] polygone [Termes IGN] précision sémantique [Termes IGN] représentation cartographique [Termes IGN] similitude [Termes IGN] système d'information géographique Résumé : (Auteur) Object-oriented (OO) image analysis provides an efficient way to generate vector-format land-cover and land-use maps from remotely sensed images. Such image-derived vector maps, however, are generally presented with congested and twisted polygons with step-like boundaries. They include unclassified polygons and polygons with geometric conflicts such as unreadable small areas and narrow corridors. The complex and poorly readable representations usually make such maps not comply well with the Gestalt principle of cartography. This article describes a framework designed to improve the representation by resolving these problematic polygons. It presents a polygon similarity model integrating semantic, geometric and spectral characteristics of the image-derived polygons to eliminate small and unclassified polygons. In addition, an outward-inward-buffering approach is presented to resolve the narrow-corridor conflicts of a polygon and improve its overall appearance. A case study demonstrates that the implementation of the framework reduces the number of the polygons by 32% and the length of the polygon boundaries by 20%. At the same time, it does not cause distinct changes the distribution of land-use types (less than 0.05%) and the overall accuracy (decreased only 0.02%) as compared with the original image-derived land-use maps. We conclude that the presented framework and models effectively improve the overall representation of image-derived maps without distinct changes in their semantic characteristics and accuracy. Numéro de notice : A2013-290 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/j.1467-9671.2012.01368.x Date de publication en ligne : 06/11/2012 En ligne : https://doi.org/10.1111/j.1467-9671.2012.01368.x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32428 [article]