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Planimetric accuracy of Ikonos 1m panchromatic orthoimage products and their utility for local government GIS basemap applications / C.H. Davis in International Journal of Remote Sensing IJRS, vol 24 n° 22 (November 2003)  

Public [article]  inInternational Journal of Remote Sensing IJRS > vol 24 n° 22 (November 2003) . - pp 4267 - 4288 Titre : Planimetric accuracy of Ikonos 1m panchromatic orthoimage products and their utility for local government GIS basemap applications Type de document : Article/Communication Auteurs : C.H. Davis, Auteur ; X. Wang, Auteur Année de publication : 2003 Article en page(s) : pp 4267 - 4288 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique [Termes IGN] carte de base [Termes IGN] image Ikonos [Termes IGN] image panchromatique [Termes IGN] mise à jour [Termes IGN] modèle numérique de surface [Termes IGN] orthoimage [Termes IGN] planimétrie [Termes IGN] précision métrique [Termes IGN] système d'information géographique Résumé : (Auteur) A detailed assessment of the plammetric accuracy of highresolution panchromatic Ikonos orthoirnage products for three different test sites is presented. The main objective was to evaluate the potential of Ikonos orthoirnage products for use as digital image basemaps in local government Geographic Information Systems (GIS) systems. For maximum utility and adoption, a planimetric accuracy of 3-5 m and a circular error at 90% probability (CE90) is considered nominal for local government planning and management applications. Lowprecision, lowcost georeferenced Ikonos image products (Geo, 50 m CE90) were orthorectified using third party commercially available software and various custom Digital Elevation Models (DEMs). The planimetric accuracies of the resulting custom Ikonos orthoirnages were found to vary between 2-4 m CE90. In addition, United States Geological Survey (USGS) DEMs were also used to orthorectify georeferenced Ikonos image products. Planimetric accuracies of 2-3 m CE90 were obtained from georeferenced Ikonos using USGS DEMs with RMS vertical accuracies of the order of 2 m. The approach demonstrated here can be used to deliver uptodate, costeffective ortholmages from Ikonos Geo products that yield planimetric accuracies suitable for use as digital image basemaps by local governments. Numéro de notice : A2003-308 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/0143116031000070328 En ligne : https://doi.org/10.1080/0143116031000070328 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22604 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
080-03221	RAB	Revue	Centre de documentation	En réserve L003	Exclu du prêt

A combined fuzzy pixel-based and object-based approach for classification of high-resolution multispectral data over urban areas / A.K. Shackelford in IEEE Transactions on geoscience and remote sensing, vol 41 n° 10 (October 2003)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 41 n° 10 (October 2003) . - pp 2354 - 2363 Titre : A combined fuzzy pixel-based and object-based approach for classification of high-resolution multispectral data over urban areas Type de document : Article/Communication Auteurs : A.K. Shackelford, Auteur ; C.H. Davis, Auteur Année de publication : 2003 Article en page(s) : pp 2354 - 2363 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] classification floue [Termes IGN] classification orientée objet [Termes IGN] classification pixellaire [Termes IGN] image à résolution métrique [Termes IGN] image Ikonos [Termes IGN] logique floue [Termes IGN] milieu urbain [Termes IGN] segmentation d'image Résumé : (Auteur) In this paper, we present an object-based approach for urban land cover classification from high-resolution multispectral image data that builds upon a pixel-based fuzzy classification approach. This combined pixel / object approach is demonstrated using pan-sharpened multispectral IKONOS imagery from dense urban areas. The fuzzy pixel-based classifier utilises both spectral and spatial information to discriminate between spectrally similar Road and Building urban land cover classes. After the pixel-based classification, a technique that utilises both spectral and spatial heterogeneity is used to segment the image to facilitate further object-based classification. An object-based fuzzy logic classifier is then implemented to improve upon the pixel-based classification by identifying one additional class in dense urban areas: non-road, non-building impervious surface. With the fuzzy pixel-based classification as input, the object-based classifier then uses shape, spectral. and neighbourhood features to determine the final classification of the segmented image. Using these techniques, the object-based classifier is able to identify Buildings, Impervious Surface, and Roads in dense urban areas with 76%, 81%, and 99% classification accuracies, respectively. Numéro de notice : A2003-357 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2003.815972 En ligne : https://doi.org/10.1109/TGRS.2003.815972 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26437 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
065-03101	RAB	Revue	Centre de documentation	En réserve L003	Disponible

A hierarchical fuzzy classification approach for high-resolution multispectral data over urban areas / A.K. Shackelford in IEEE Transactions on geoscience and remote sensing, vol 41 n° 9 (September 2003)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 41 n° 9 (September 2003) . - pp 1920 - 1932 Titre : A hierarchical fuzzy classification approach for high-resolution multispectral data over urban areas Type de document : Article/Communication Auteurs : A.K. Shackelford, Auteur ; C.H. Davis, Auteur Année de publication : 2003 Article en page(s) : pp 1920 - 1932 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] analyse comparative [Termes IGN] classification floue [Termes IGN] classification par maximum de vraisemblance [Termes IGN] image à résolution métrique [Termes IGN] image Ikonos [Termes IGN] image multibande [Termes IGN] image panchromatique [Termes IGN] milieu urbain [Termes IGN] texture d'image Résumé : (Auteur) In this paper, we investigate the usefulness of high-resolution multispectral satellite imagery for classification of urban and suburban areas and present a fuzzy logic methodology to improve classification accuracy. Panchromatic and multispectral IKONOS image datasets are analyzed for two urban locations in this study. Both multispectral and pansharpened multispectral images are first classified using a traditional maximum-likelihood approach. Maximum-likelihood classification accuracies between 79 % to 87 % were achieved with significant misclassification error between the spectrally similar Road and Building urban land cover types. A number of different texture measures were investigated, and a length-width contextual measure is developed. These spatial measures were used to increase the discrimination between spectrally similar classes, thereby yielding higher accuracy urban land cover maps. Finally, a hierarchical fuzzy classification approach that makes use of both spectral and spatial information is presented. This technique is shown to increase the discrimination between spectrally similar urban land cover classes and results in classification accuracies that are 8 % to I I% larger than those from the traditional maximumlikelihood approach. Numéro de notice : A2003-249 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2003.814627 En ligne : https://doi.org/10.1109/TGRS.2003.814627 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22544 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
065-03091	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Modeling and estimation of the spatial variation of elevation error in high resolution DEM from stereo-image processing / C.H. Davis in IEEE Transactions on geoscience and remote sensing, vol 39 n° 11 (November 2001)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 39 n° 11 (November 2001) . - pp 2483 - 2489 Titre : Modeling and estimation of the spatial variation of elevation error in high resolution DEM from stereo-image processing Type de document : Article/Communication Auteurs : C.H. Davis, Auteur ; H. Jiang, Auteur ; X. Wang, Auteur Année de publication : 2001 Article en page(s) : pp 2483 - 2489 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique [Termes IGN] GPS en mode cinématique [Termes IGN] modèle d'erreur [Termes IGN] modèle numérique de surface [Termes IGN] positionnement cinématique [Termes IGN] traitement d'image Résumé : (Auteur) The spatial variability of elevation errors in high-resolution digital elevation models (DEMs) derived from stereo-image processing is examined. Error models are developed and evaluated by examining the correlation between various DEM parameters and the magnitude of the observed DEM vertical error. DEM vertical errors were estimated using a dataset of more than 51000 points of known elevation obtained from a kinematic global positioning satellite (GPS) ground survey. Elevation variability and the quality of the stereo-correlation match over small spatial scales were the dominant factors that determined the magnitude of the DEM error at any given location. The error models are strongly correlated with the magnitude of the DEM vertical error and are shown to adequately represent the full range of the observed error. The error models are used to estimate the magnitude of the vertical error for every point in the DEMs. The models are then used to predict the overall error in the DEMs. The results demonstrate that the error models can accurately quantify and predict the spatial variability of the DEM error. Numéro de notice : A2001-133 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/36.964985 En ligne : https://doi.org/10.1109/36.964985 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=21829 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
065-01111	RAB	Revue	Centre de documentation	En réserve L003	Disponible

High spatial resolution image and digital elevation model data for watershed analysis / A.C. Correa (2001)

Public contenu dans Observing our environment from space / G. Begni (2002) Titre : High spatial resolution image and digital elevation model data for watershed analysis Type de document : Article/Communication Auteurs : A.C. Correa, Auteur ; C.H. Davis, Auteur ; L. Peyton, Auteur ; H. Jiang, Auteur ; J. Adhityawarma, Auteur Editeur : Lisse et Amsterdam : Balkema (August Aimé) Année de publication : 2001 Conférence : EARSeL 2001, 21st international symposium, Observing our environment from space : news solutions for a new millennium 14/05/2001 16/05/2001 Paris France Importance : pp 245 - 250 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] bassin hydrographique [Termes IGN] image à résolution métrique [Termes IGN] image Ikonos [Termes IGN] image panchromatique [Termes IGN] inondation [Termes IGN] Missouri (Etats-Unis) [Termes IGN] modèle numérique de terrain [Termes IGN] OrthoEngine [Termes IGN] risque naturel Résumé : (Auteur) The new generation of land observation satellites produces panchromatic image data with 5- and 1 meter spatial resolution that will promote the development of new remote sensing applications and will be used also to create high-resolution digital elevation models (DEMs). The Institute for Commercialization of Remote Sensing Technologies (ICREST) at the University of Missouri-Columbia evaluated some potential applications of the new datasets using simulated and actual Ikonos satellite data in the highly urbanized Jordan Creek watershed in Missouri. This paper describes the characteristics and applications of high spatial resolution land use/land cover information, DEMs and merged products used for watershed analysis. Numéro de notice : C2001-030 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Communication DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=64938