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Impervious surface area extraction from IKONOS imagery using an object-based fuzzy method / Xuefei Hu in Geocarto international, vol 26 n° 1 (February 2011)  

Public [article]  inGeocarto international > vol 26 n° 1 (February 2011) . - pp 3 - 20 Titre : Impervious surface area extraction from IKONOS imagery using an object-based fuzzy method Type de document : Article/Communication Auteurs : Xuefei Hu, Auteur ; Q. Weng, Auteur Année de publication : 2011 Article en page(s) : pp 3 - 20 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] classification floue [Termes IGN] détection d'objet [Termes IGN] extraction automatique [Termes IGN] image Ikonos [Termes IGN] image multibande [Termes IGN] Indianapolis [Termes IGN] logique floue [Termes IGN] milieu urbain [Termes IGN] pansharpening (fusion d'images) [Termes IGN] surface imperméable [Termes IGN] ville Résumé : (Auteur) The study of impervious surfaces is crucial to the sustainable development of urban areas due to its strong impact on urban environments. Remotely sensed high-resolution imagery has the advantage of providing more spatial details; however, digital image processing algorithms have not been well developed to accommodate this advantage and other characteristics of such imagery. In this article, an object-based fuzzy classification approach for impervious surface extraction was developed and applied to two pan-sharpened multi-spectral IKONOS images covering the residential and central business district (CBD) areas of Indianapolis, Indiana, USA. Fuzzy rules based on spectral, spatial and texture attributes, were developed to extract impervious surfaces. An accuracy assessment was performed for the final maps. The results indicated that the spatial patterns of extracted features were in accordance with those in the original images and the boundaries of features were appropriately delineated. Impervious surfaces were extracted with an accuracy of 95% in the residential area and 92% in the CBD area. Road extraction achieved accuracy a bit lower, with 93% and 90% from the residential and CBD area, respectively. Buildings were extracted with an accuracy of 94% from the residential area while 89% from the CBD area. It is suggested that the CBD area had a higher spectral complexity, building displacement and the shadow problem, leading to a more difficult estimation and mapping of impervious surfaces. Numéro de notice : A2011-034 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2010.535616 Date de publication en ligne : 01/10/2010 En ligne : https://doi.org/10.1080/10106049.2010.535616 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30815 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
059-2011011	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Influence of street reference data on geocoding quality / P. Zandbergen in Geocarto international, vol 26 n° 1 (February 2011)  

Public [article]  inGeocarto international > vol 26 n° 1 (February 2011) . - pp 35 - 47 Titre : Influence of street reference data on geocoding quality Type de document : Article/Communication Auteurs : P. Zandbergen, Auteur Année de publication : 2011 Article en page(s) : pp 35 - 47 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique [Termes IGN] base de données d'adresses [Termes IGN] données localisées de référence [Termes IGN] exhaustivité des données [Termes IGN] Floride (Etats-Unis) [Termes IGN] géocodage par adresse postale [Termes IGN] précision du positionnement [Termes IGN] répétabilité [Termes IGN] réseau routier Résumé : (Auteur) Repeatability of street geocoding was characterized in terms of completeness and positional accuracy by using different street network datasets to geocode the same address input file. Match rates were highest for local street centrelines followed by StreetMap USA 2005 and TIGER 2000 data. Positional accuracy was highest for local street centrelines, while StreetMap USA 2005 and TIGER 2000 were nearly identical. Rural addresses were geocoded less accurately than urban addresses. Multi-family residential and commercial, institutional or industrial addresses were geocoded less accurately than urban single family residential addresses. The enhancement of TIGER 2000 data by commercial firms resulted in higher match rates but not in improved positional accuracy. The study has also highlighted the unique nature of multi-family and non-residential addresses in terms of the quality of their street geocoded locations. When such addresses are of specific interest alternatives to traditional street geocoding may need to be considered. Numéro de notice : A2011-035 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2010.537374 Date de publication en ligne : 04/12/2010 En ligne : https://doi.org/10.1080/10106049.2010.537374 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30816 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
059-2011011	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Construction of digital 3D highway model using stereo IKONOS satellite imagery / Ahmed Shaker in Geocarto international, vol 26 n° 1 (February 2011)  

Public [article]  inGeocarto international > vol 26 n° 1 (February 2011) . - pp 49 - 67 Titre : Construction of digital 3D highway model using stereo IKONOS satellite imagery Type de document : Article/Communication Auteurs : Ahmed Shaker, Auteur ; W. Yan, Auteur ; S. Easa, Auteur Année de publication : 2011 Article en page(s) : pp 49 - 67 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] autoroute [Termes IGN] extraction semi-automatique [Termes IGN] géoréférencement indirect [Termes IGN] Hong-Kong [Termes IGN] image Ikonos [Termes IGN] modèle géométrique de prise de vue [Termes IGN] modèle numérique de surface [Termes IGN] modèle par fonctions rationnelles [Termes IGN] pansharpening (fusion d'images) [Termes IGN] point d'appui [Termes IGN] signalisation routière [Termes IGN] Toronto Résumé : (Auteur) This study aims to assess the accuracy of using stereo high resolution satellite imagery for extracting the highway profiles and plans and constructing accurate 3D highway visualization model. Two stereo-pair IKONOS satellite images for Hong Kong and Toronto are geo-referenced by using a number of ground control points acquired by global positioning system measurements. A polynomial-based generic pushbroom model and rational function model are used to perform the sensor orientation, respectively. The highway alignments are extracted semi-automatically using stereoscopic measurements, and a 3D digital model along the highway is constructed. It is found that the highway alignments retrieved from the stereo IKONOS images result in less than 1-m root mean squared error in most of the cases in the horizontal and vertical directions. Near half-pixel accuracy can be achieved by using pansharpening stereo satellite imagery and under the condition that clear road surface markings can be identified along the highway. Numéro de notice : A2011-036 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2010.537785 Date de publication en ligne : 04/12/2010 En ligne : https://doi.org/10.1080/10106049.2010.537785 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30817 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
059-2011011	RAB	Revue	Centre de documentation	En réserve L003	Disponible