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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

Application of fuzzy measures in multi-criteria evaluation in GIS / H. Jiang in International journal of geographical information science IJGIS, vol 14 n° 2 (march 2000)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 14 n° 2 (march 2000) . - pp 173 - 184 Titre : Application of fuzzy measures in multi-criteria evaluation in GIS Type de document : Article/Communication Auteurs : H. Jiang, Auteur ; J. Ronald Eastman, Auteur Année de publication : 2000 Article en page(s) : pp 173 - 184 Note générale : Bibliographie 1 page Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Systèmes d'information géographique [Termes IGN] analyse multicritère [Termes IGN] flou [Termes IGN] système d'information géographique Résumé : (Auteur) Multi-criteria évaluation (MCE) is perhaps the most fondamental of decision support opérations in geographical information systems (GIS). This paper reviews two main MCE approaches employed in GIS, namely Boolean and Weighted Linear Combination (WLC), and discusses issues and problems associated with both. To resolve the conceptuel differences between the two approaches, this paper proposes the application of fuzzy measures, a concept that is broader but that includes fuzzy set membership, and argues that the standardized factors of MCE belong to a general class of fuzzy measures and the more specific instance of fuzzy set membership. This perspective provides a strong theoretical basis for the standardisation of factors and their subsequent aggregation. In this contexte, a new aggregation operator that accommodates and extends the Boolean and WLC approaches is discussed : the Ordered Weighted Average. A case study of industriel allocation in Nakuru, Kenya is employed to illustrate the different approaches. Numéro de notice : A2000-238 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article DOI : 10.1080/136588100240903 En ligne : https://doi.org/10.1080/136588100240903 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=21653 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
079-00021	RAB	Revue	Centre de documentation	En réserve L003	Disponible