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Integrating fine scale information in super-resolution land-cover mapping / A. Boucher in Photogrammetric Engineering & Remote Sensing, PERS, vol 73 n° 8 (August 2007)
[article]
Titre : Integrating fine scale information in super-resolution land-cover mapping Type de document : Article/Communication Auteurs : A. Boucher, Auteur ; P.C. Kyriakidis, Auteur Année de publication : 2007 Article en page(s) : pp 913 - 921 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] analyse des mélanges spectraux
[Termes IGN] analyse infrapixellaire
[Termes IGN] carte d'occupation du sol
[Termes IGN] krigeage
[Termes IGN] limite de résolution géométrique
[Termes IGN] variogrammeRésumé : (Auteur) Super-resolution or sub-pixel class mapping is the task of providing fine spatial resolution maps of, for example, landcover classes, from satellite sensor measurements obtained at a coarser spatial resolution. Often, the only information available consists of coarse class fraction data, typically obtained through spectral unmixing. This paper shows how to integrate, in addition to such coarse fractions, class labels at a set of fine pixels obtained independent of the satellite sensor measurements. The integration of such fine spatial resolution information is achieved within the Indicator Kriging formalism in either a prediction or simulation mode. The spatial dissimilarity or texture of class labels at the fine (target) resolution is quantified in a non-parametric way from an analog scene using a set of experimental indicator semivariogram maps. The output of the proposed procedure consists of maps of probabilities of class occurrence, or of a series of simulated class maps characterizing the inherent spatial uncertainty in the super-resolution mapping process. Numéro de notice : A2007-370 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.73.8.913 En ligne : http://dx.doi.org/10.14358/PERS.73.8.913 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28733
in Photogrammetric Engineering & Remote Sensing, PERS > vol 73 n° 8 (August 2007) . - pp 913 - 921[article]Dasymetric modelling of small-area population distribution using land cover and light emissions data / D.J. Briggs in Remote sensing of environment, vol 108 n° 4 (29 June 2007)
[article]
Titre : Dasymetric modelling of small-area population distribution using land cover and light emissions data Type de document : Article/Communication Auteurs : D.J. Briggs, Auteur ; J. Gulliver, Auteur ; et al., Auteur Année de publication : 2007 Article en page(s) : pp 451 - 466 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] Corine Land Cover
[Termes IGN] densité de population
[Termes IGN] distribution spatiale
[Termes IGN] données statistiques
[Termes IGN] figuration de la densité
[Termes IGN] flux lumineux
[Termes IGN] image DMSP-OLS
[Termes IGN] image satellite
[Termes IGN] intensité lumineuse
[Termes IGN] interpolation inversement proportionnelle à la distance
[Termes IGN] krigeage
[Termes IGN] régressionRésumé : (Auteur) Despite the improvements made in census procedures over recent decades, the availability of detailed population data is limited. For many applications, including environmental and health analyses, methods are therefore needed to model population distribution at the small-area level. With the development of GIS and remote sensing techniques, the ability to develop such models has greatly improved. This paper describes a GIS-based approach using remotely sensed land cover and nighttime light emissions data to model population distribution at the land parcel level across the European Union. Light emission data from the DMSP satellites were first resampled and modelled using kriging and inverse distance weighting methods to provide a 200-m resolution light emissions map. This was then matched to CORINE land cover classes across the EU. Regression methods were used to derive models of relationships between census population counts (at NUTS 5 level) and land cover area and light emissions. Models were developed at both national and EU scale, using a range of different modelling strategies. Model performance, as indicated by the regression statistics, was seen to be good, with R2 typically in the order of 0.8–0.9 and SEE ca. 4000 people. In southern countries, especially, incorporation of light emissions data was found to improve model performance considerably compared to models based only on land cover data. More detailed post hoc validation in Great Britain, using independent data on population at census tract (enumeration district and output area) and postcode level, for 1991 and 2001, showed that models gave good predictions of population at the 1 km level (R2 > 0.9), but were less reliable at resolutions below ca. 500 m. Impending enhancements in the available land cover and light emissions data are expected to improve the capability of this modelling approach in the future. Numéro de notice : A2007-300 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2006.11.020 En ligne : https://doi.org/10.1016/j.rse.2006.11.020 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28663
in Remote sensing of environment > vol 108 n° 4 (29 June 2007) . - pp 451 - 466[article]Evaluation de différentes méthodes d'interpolation spatiale pour la production d'un MNT à partir de données topographiques dans un SIG / Noamen Rebaï in XYZ, n° 110 (mars - mai 2007)
[article]
Titre : Evaluation de différentes méthodes d'interpolation spatiale pour la production d'un MNT à partir de données topographiques dans un SIG Type de document : Article/Communication Auteurs : Noamen Rebaï, Auteur ; Tarek Slama, Auteur ; M.M. Turki, Auteur Année de publication : 2007 Article en page(s) : pp 19 - 28 Note générale : Bibliographie Langues : Français (fre) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] analyse comparative
[Termes IGN] analyse spatiale
[Termes IGN] données topographiques
[Termes IGN] données vectorielles
[Termes IGN] estimation statistique
[Termes IGN] interpolation spatiale
[Termes IGN] krigeage
[Termes IGN] modèle numérique de terrain
[Termes IGN] système d'information géographiqueRésumé : (Auteur) La vraie puissance du Système d'Information Géographique (SIG) réside dans l'analyse de l'information spatiale. Cette dernière nécessite le paramétrage de la continuité spatiale ainsi qu'un suivi de régularité surfacique qui ne peut être assuré que par interpolation. Cet article présente une approche méthodologique quantitative pour l'évaluation de six méthodes d'interpolation utilisées dans la production d'un Modèle Numérique de Terrain (MNT) à partir de données topographiques vectorielles dans un SIG. Divers paramètres statistiques sont utilisés et analysés pour évaluer ces méthodes et déterminer le ou les meilleurs interpolateurs. Copyright AFT Numéro de notice : A2007-083 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28448
in XYZ > n° 110 (mars - mai 2007) . - pp 19 - 28[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 112-07011 RAB Revue Centre de documentation En réserve L003 Disponible 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]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 065-06111B RAB Revue Centre de documentation En réserve L003 Disponible 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]Deriving 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)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)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)Permalink