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Raster-network regionalization for watershed data processing / T.L. Whiteaker in International journal of geographical information science IJGIS, vol 21 n° 3-4 (march - april 2007)
[article]
Titre : Raster-network regionalization for watershed data processing Type de document : Article/Communication Auteurs : T.L. Whiteaker, Auteur ; D.R. Maidment, Auteur ; H. Gopalan, Auteur ; et al., Auteur Année de publication : 2007 Article en page(s) : pp 341 - 353 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] ArcGIS
[Termes IGN] bassin hydrographique
[Termes IGN] données maillées
[Termes IGN] modèle hydrographique
[Termes IGN] régionalisation (segmentation)
[Termes IGN] Rio Grande (fleuve)
[Termes IGN] Texas (Etats-Unis)
[Termes IGN] variable régionaliséeRésumé : (Auteur) Difficulties exist in calculating watershed parameters from raster datasets over large regions because of the excessive computation time involved. A technique is presented which divides a large region into hydrologically distinct subregions, in each of which raster analyses are performed, in order to efficiently process large raster datasets. The results of raster analyses are stored as attributes on the resulting vector data. The vector data are then merged, and appropriate values accumulated to obtain regional parameter values for points of interest along the stream network. The technique, called Raster-Network Regionalization, uses the vector stream network as the backbone for the integration of subregions into a single region. A case study is presented which utilizes the technique to prepare geospatial inputs for the Water Rights Analysis Package simulation model. Numéro de notice : A2007-115 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1080/13658810600965255 En ligne : https://doi.org/10.1080/13658810600965255 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28478
in International journal of geographical information science IJGIS > vol 21 n° 3-4 (march - april 2007) . - pp 341 - 353[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 079-07021 RAB Revue Centre de documentation En réserve L003 Disponible 079-07022 RAB Revue Centre de documentation En réserve L003 Disponible Automatic extraction and classification of vegetation areas from high resolution images in urban areas / Corina Iovan (2007)
Titre : Automatic extraction and classification of vegetation areas from high resolution images in urban areas Type de document : Article/Communication Auteurs : Corina Iovan , Auteur ; Didier Boldo , Auteur ; Matthieu Cord, Auteur ; Mats Erikson, Auteur Editeur : Berlin, Heidelberg, Vienne, New York, ... : Springer Année de publication : 2007 Conférence : SCIA 2007, 15th Scandinavian Conference on Image Analysis 10/06/2007 14/06/2007 Aalborg Danemark Proceedings Springer Importance : pp 858 - 867 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] classification par séparateurs à vaste marge
[Termes IGN] extraction de la végétation
[Termes IGN] houppier
[Termes IGN] image aérienne
[Termes IGN] image optique
[Termes IGN] texture d'image
[Termes IGN] variable régionalisée
[Termes IGN] zone urbaine
[Termes IGN] zone urbaine denseRésumé : (auteur) This paper presents a complete high resolution aerial-images processing workflow to detect and characterize vegetation structures in high density urban areas. We present a hierarchical strategy to extract, analyze and delineate vegetation areas according to their height. To detect urban vegetation areas, we develop two methods, one using spectral indices and the second one based on a Support Vector Machines (SVM) classifier. Once vegetation areas detected, we differentiate lawns from treed areas by computing a texture operator on the Digital Surface Model (DSM). A robust region growing method based on the DSM is proposed for an accurate delineation of tree crowns. Delineation results are compared to results obtained by a Random Walk region growing technique for tree crown delineation. We evaluate the accuracy of the tree crown delineation results to a reference manual delineation. Results obtained are discussed and the influential factors are put forward. Numéro de notice : C2007-008 Affiliation des auteurs : MATIS+Ext (1993-2011) Thématique : IMAGERIE/INFORMATIQUE Nature : Poster nature-HAL : Poster-avec-CL DOI : 10.1007/978-3-540-73040-8_87 En ligne : http://dx.doi.org/10.1007/978-3-540-73040-8_87 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=85951 A novel method for mapping land cover changes: Incorporating time and space with geostatistics / A. Boucher in IEEE Transactions on geoscience and remote sensing, vol 44 n° 11 Tome 2 (November 2006)
[article]
Titre : A novel method for mapping land cover changes: Incorporating time and space with geostatistics Type de document : Article/Communication Auteurs : A. Boucher, Auteur ; K.C. Seto, Auteur ; A.G. Journel, Auteur Année de publication : 2006 Article en page(s) : pp 3427 - 3435 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] carte d'occupation du sol
[Termes IGN] classification par maximum de vraisemblance
[Termes IGN] classification pixellaire
[Termes IGN] détection de changement
[Termes IGN] données de terrain
[Termes IGN] filtre de déchatoiement
[Termes IGN] géostatistique
[Termes IGN] krigeage
[Termes IGN] série temporelle
[Termes IGN] utilisation du sol
[Termes IGN] variogrammeRésumé : (Auteur) Landsat data are now available for more than 30 years, providing the longest high-resolution record of Earth monitoring. This unprecedented time series of satellite imagery allows for extensive temporal observation of terrestrial processes such as land cover and land use change. However, despite this unique opportunity, most existing change detection techniques do not fully capitalize on this long time series. In this paper, a method that exploits both the temporal and spatial domains of time series satellite data to map land cover changes is presented. The time series of each pixel in the image is modeled with a combination of: 1) pixel-specific remotely sensed data; 2) neighboring pixels derived from ground observation data; and 3) time series transition probabilities. The spatial information is modeled with variograms and integrated using indicator kriging; time series transition probabilities are combined using an information-based cascade approach. This results in a map that is significantly more accurate in identifying when, where, and what land cover changes occurred. For the six images used in this paper, the prediction accuracy of the time series improves significantly, increasing from 31% to 61%, when both space and time are considered with the maximum likelihood. The consideration of spatial continuity also reduced unwanted speckles in the classified images, removing the need for any postprocessing. These results indicate that combining space and time domains significantly improves the accuracy of temporal change detection analyses and can produce high-quality time series land cover maps. Copyright IEEE Numéro de notice : A2006-529 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2006.879113 En ligne : https://doi.org/10.1109/TGRS.2006.879113 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28252
in IEEE Transactions on geoscience and remote sensing > vol 44 n° 11 Tome 2 (November 2006) . - pp 3427 - 3435[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-06111B RAB Revue Centre de documentation En réserve L003 Disponible Model-based prediction error uncertainty estimation for K-NN method / H.J. Kim in Remote sensing of environment, vol 104 n° 3 (15/10/2006)
[article]
Titre : Model-based prediction error uncertainty estimation for K-NN method Type de document : Article/Communication Auteurs : H.J. Kim, Auteur ; Erkki Tomppo, Auteur Année de publication : 2006 Article en page(s) : pp 257 - 263 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] Betula (genre)
[Termes IGN] classification barycentrique
[Termes IGN] erreur moyenne quadratique
[Termes IGN] Finlande
[Termes IGN] image Landsat-TM
[Termes IGN] inventaire forestier étranger (données)
[Termes IGN] Picea abies
[Termes IGN] Pinus (genre)
[Termes IGN] Populus (genre)
[Termes IGN] variogrammeRésumé : (Auteur) The k-nearest neighbour estimation method is one of the main tools used in multi-source forest inventories. It is a powerful non-parametric method for which estimates are easy to compute and relatively accurate. One downside of this method is that it lacks an uncertainty measure for predicted values and for areas of an arbitrary size. We present a method to estimate the prediction uncertainty based on the variogram model which derives the necessary formula for the k-nn method. A data application is illustrated for multi-source forest inventory data, and the results are compared at pixel level to the conventional RMSE method. We find that the variogram model-based method which is analytic, is competitive with the RMSE method. Numéro de notice : A2006-414 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2006.04.009 En ligne : https://doi.org/10.1016/j.rse.2006.04.009 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28138
in Remote sensing of environment > vol 104 n° 3 (15/10/2006) . - pp 257 - 263[article]Super-resolution land cover mapping with indicator geostatistics / A. Boucher in Remote sensing of environment, vol 104 n° 3 (15/10/2006)
[article]
Titre : Super-resolution land cover mapping with indicator geostatistics Type de document : Article/Communication Auteurs : A. Boucher, Auteur ; P.C. Kyriakidis, Auteur Année de publication : 2006 Article en page(s) : pp 264 - 282 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] carte d'occupation du sol
[Termes IGN] Chine
[Termes IGN] delta
[Termes IGN] fleuve
[Termes IGN] géostatistique
[Termes IGN] image Landsat-TM
[Termes IGN] incertitude de position
[Termes IGN] krigeage
[Termes IGN] problème inverse
[Termes IGN] variogrammeRésumé : (Auteur) Many satellite images have a coarser spatial resolution than the extent of land cover patterns on the ground, leading to mixed pixels whose composite spectral response consists of responses from multiple land cover classes. Spectral unmixing procedures only determine the fractions of such classes within a coarse pixel without locating them in space. Super-resolution or sub-pixel mapping aims at providing a fine resolution map of class labels, one that displays realistic spatial structure (without artifact discontinuities) and reproduces the coarse resolution fractions. In this paper, existing approaches for super-resolution mapping are placed within an inverse problem framework, and a geostatistical method is proposed for generating alternative synthetic land cover maps at the fine (target) spatial resolution; these super-resolution realizations are consistent with all the information available. More precisely, indicator coKriging is used to approximate the probability that a pixel at the fine spatial resolution belongs to a particular class, given the coarse resolution fractions and (if available) a sparse set of class labels at some informed fine pixels. Such Kriging-derived probabilities are used in sequential indicator simulation to generate synthetic maps of class labels at the fine resolution pixels. This non-iterative and fast simulation procedure yields alternative super-resolution land cover maps that reproduce: (i) the observed coarse fractions, (ii) the fine resolution class labels that might be available, and (iii) the prior structural information encapsulated in a set of indicator variogram models at the fine resolution. A case study is provided to illustrate the proposed methodology using Landsat TM data from SE China. Numéro de notice : A2006-415 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2006.04.020 En ligne : https://doi.org/10.1016/j.rse.2006.04.020 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28139
in Remote sensing of environment > vol 104 n° 3 (15/10/2006) . - pp 264 - 282[article]Resolution dependent errors in remote sensing of cultivated areas / M. Ozdogan in Remote sensing of environment, vol 103 n° 2 (30/07/2006)PermalinkQuantifying spatial heterogeneity at the landscape scale using variogram models / S. Garrigues in Remote sensing of environment, vol 103 n° 1 (15 July 2006)PermalinkUrban land-use classification using variogram-based analysis with an aerial photograph / S.S. Wu in Photogrammetric Engineering & Remote Sensing, PERS, vol 72 n° 7 (July 2006)PermalinkDeriving ground surface digital elevation models from Lidar data with geostatistics / C.D. Lloyd in International journal of geographical information science IJGIS, vol 20 n° 5 (may 2006)PermalinkPermalinkStatistical analysis of environmental space-time processes / N. Le (2006)PermalinkRelating SAR image texture to the biomass of regenerating tropical forests / T.M. Kuplich in International Journal of Remote Sensing IJRS, vol 26 n° 21 (November 2005)PermalinkSupervised image classification by contextual adaboost based on posteriors in neighborhoods / Ryuei Nishii in IEEE Transactions on geoscience and remote sensing, vol 43 n° 11 (November 2005)PermalinkComment reproduire le MNT d'une rivière ensablée ? / B. Federici in Géomatique expert, n° 44 (01/06/2005)PermalinkDelaunay triangulation structured kriging for surface interpolation / Yaron Felus in Surveying and land information science, vol 65 n° 1 (01/03/2005)PermalinkQuality assessment and improvement of temporally composite products of remote sensed imagery by combination of Vegetation 1 and 2 images / Olivier Hagolle in Remote sensing of environment, vol 94 n° 2 (30/01/2005)PermalinkPermalinkStatistique spatiale / Jean-Marc Zaninetti (2005)PermalinkCartographie "quasi-temps réel" de la pollution par l'ozone / G. Causera in Géomatique expert, n° 38 (01/11/2004)PermalinkThe discontinuous nature of kriging interpolation for digital terrain modelling / Thomas H. Meyer in Cartography and Geographic Information Science, vol 31 n° 4 (October 2004)PermalinkCartographie de la fraction argileuse du sol dans le rif marocain à l'aide du capteur ASTER et de l'analyse géostatique / M. Chikhaoui in Revue internationale de géomatique, vol 14 n° 3 - 4 (septembre 2004 – février 2005)PermalinkMapping the atmospheric water vapor by integrating microwave radiometer and GPS measurements / P. Basili in IEEE Transactions on geoscience and remote sensing, vol 42 n° 8 (August 2004)PermalinkUsing quadtree segmentation to support error modelling in categorical raster data / S. De Bruin in International journal of geographical information science IJGIS, vol 18 n° 2 (march 2004)PermalinkPermalinkImage numérique couleur, de l'acquisition au traitement / Alain Trémeau (2004)Permalink