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Termes IGN > mathématiques > statistique mathématique
statistique mathématique
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biométrie,
échantillonnage (statistique), probabilité, statistique. >>Terme(s) spécifique(s) : analyse de régression, analyse de variance, analyse des données, analyse multivariée, analyse séquentielle, calcul d'erreur, carré latin, corrélation (statistique), efficacité asymptotique (statistique), fonction pseudo-aléatoire, loi des grands nombres, modèle linéaire (statistique), modèle non linéaire (statistique), moindre carré, physique statistique, plan d'expérience, rang et sélection (statistique), rupture (statistique), SAS (logiciel), série chronologique, statistique non paramétrique, statistique robuste, tableau de contingence, test d'hypothèses (statistique), statistique stellaire. Equiv. LCSH : Mathematical statistics. Domaine(s) : 510. |
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A road network embedding technique for k-nearest neighbor search in moving object databases / M.R. Kolahdouzan in Geoinformatica, vol 7 n° 3 (September - November 2003)
[article]
Titre : A road network embedding technique for k-nearest neighbor search in moving object databases Type de document : Article/Communication Auteurs : M.R. Kolahdouzan, Auteur ; C. Shahabi, Auteur ; M. Sharifzadeh, Auteur Année de publication : 2003 Conférence : ACM GIS 2002, 10th ACM International Symposium on Advances in Geographic Information Systems 08/11/2002 09/11/2002 McLean Virginie - Etats-Unis Selected papers Article en page(s) : pp 255 - 273 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées
[Termes IGN] base de données localisées
[Termes IGN] classification barycentrique
[Termes IGN] distance euclidienne
[Termes IGN] espace euclidien
[Termes IGN] mise à jour de base de données
[Termes IGN] réseau routier
[Termes IGN] système d'information géographique
[Termes IGN] topologieRésumé : (Auteur) A very important class of queries in GIS applications is the class of Knearest neighbor queries. Most of the current studies on the Knearest neighbor queries utilize spatial index structures and hence are based on the Euclidean distances between the points. In realworld road networks, however, the shortest distance between two points depends on the actual path connecting the points and cannot be computed accurately using one of the Minkowski metrics. Thus, the Euclidean distance may not properly approximate the real distance. In this paper, we apply an embedding technique to transform a road network to a high dimensional space in order to utilize computationally simple Minkowski metrics for distance measurement. Subsequently, we extend our approach to dynamically transform new points into the embedding space. Finally, we propose an efficient technique that can find the actual shortest path between two points in the original road network using only the embedding space. Our empirical experiments indicate that the Chessboard distance metric (L,) in the embedding space preserves the ordering of the distances between a point and its neighbors more precisely as compared to the Euclidean distance in the original road network. Numéro de notice : A2003-202 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article DOI : 10.1023/A:1025153016110 En ligne : https://doi.org/10.1023/A:1025153016110 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22498
in Geoinformatica > vol 7 n° 3 (September - November 2003) . - pp 255 - 273[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 057-03031 RAB Revue Centre de documentation En réserve L003 Disponible Spectral resolution requirements for mapping urban areas / Martin Herold in IEEE Transactions on geoscience and remote sensing, vol 41 n° 9 (September 2003)
[article]
Titre : Spectral resolution requirements for mapping urban areas Type de document : Article/Communication Auteurs : Martin Herold, Auteur ; M.E. Gardner, Auteur ; D.A. Roberts, Auteur Année de publication : 2003 Article en page(s) : pp 1907 - 1919 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] analyse comparative
[Termes IGN] cartographie urbaine
[Termes IGN] classification
[Termes IGN] image AVIRIS
[Termes IGN] image hyperspectrale
[Termes IGN] image Ikonos
[Termes IGN] image Landsat-TM
[Termes IGN] image multibande
[Termes IGN] image optique
[Termes IGN] milieu urbain
[Termes IGN] occupation du sol
[Termes IGN] précision de la classificationRésumé : (Auteur) This study evaluated how spectral resolution of spatial resolution optical remote sensing data influences detailed mapping of urban land cover. A comprehensive regional spectral library and low altitude data from the Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) were used to characterize the spectral properties of urban land cover. The Bhattacharyya distance was applied as a measure of spectral separability to determine a most suitable subset of 14 AVIRIS bands for urban mapping. We evaluated the performance of this spectral setting versus common multispectral sensors such as Ikonos by assessing classification accuracy for 26 urban land cover classes. Significant limitations for current multispectral sensors were identified, where the location and broadband character of the spectral bands only marginally resolved the complex spectral characteristics of the urban environment, especially for built surface types. However, the AVIRIS classification accuracy did not exceed 66.6% for 22 urban cover types, primarily due to spectral similarities of specific urban materials and high withinclass variability. Numéro de notice : A2003-248 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2003.815238 En ligne : https://doi.org/10.1109/TGRS.2003.815238 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22543
in IEEE Transactions on geoscience and remote sensing > vol 41 n° 9 (September 2003) . - pp 1907 - 1919[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-03091 RAB Revue Centre de documentation En réserve L003 Disponible Surface soil moisture retrieval from L-band radiometry: a global regression study / T. Pellarin in IEEE Transactions on geoscience and remote sensing, vol 41 n° 9 (September 2003)
[article]
Titre : Surface soil moisture retrieval from L-band radiometry: a global regression study Type de document : Article/Communication Auteurs : T. Pellarin, Auteur ; J.C. Calvet, Auteur ; Jean-Pierre Wigneron, Auteur Année de publication : 2003 Article en page(s) : pp 2037 - 2051 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] bande L
[Termes IGN] humidité du sol
[Termes IGN] luminance lumineuse
[Termes IGN] radiométrie
[Termes IGN] régression
[Termes IGN] température de surface
[Termes IGN] zone humideRésumé : (Auteur) Using a global simulation of L-band (1.4 GHz) brightness temperature (TB) for two years (1987 and 1988), the relationship between L(band brightness temperatures and surface soil moisture was analyzed using simple regression models. The global TB dataset describes continental pixels at a halfdegree spatial resolution and accounts for withinpixel heterogeneity, based on 1-km resolution land cover maps. Two different statistical methods were investigated. First, a single regression model was obtained using a linear combination of TB indexes. This method consisted in retrieving surface soil moisture using the same global regression model for all the pixels. Second, a regression model was calibrated over each pixel using similar linear combinations of the TB indexes. In both cases, the influence of the radiometric noise on TB was investigated. Applying these two methods, the capability ,of L-band TB observations to monitor surface soil moisture vas evaluated at the global scale and during a two-year time period. Global maps of the estimated accuracy of the soil moisture retrievals were produced. These results contribute to better define the potential of the observations from future spaceborne missions,such as the Soil Moisture and Ocean Salinity (SMOS) mission Numéro de notice : A2003-252 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2003.813492 En ligne : https://doi.org/10.1109/TGRS.2003.813492 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22547
in IEEE Transactions on geoscience and remote sensing > vol 41 n° 9 (September 2003) . - pp 2037 - 2051[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-03091 RAB Revue Centre de documentation En réserve L003 Disponible Synergistic use of Lidar and color aerial photography for mapping urban parcel imperviousness / M.E. Hodgson in Photogrammetric Engineering & Remote Sensing, PERS, vol 69 n° 9 (September 2003)
[article]
Titre : Synergistic use of Lidar and color aerial photography for mapping urban parcel imperviousness Type de document : Article/Communication Auteurs : M.E. Hodgson, Auteur ; J.R. Jensen, Auteur ; J.A. Tullis, Auteur ; K.D. Riordan, Auteur ; C.M. Archer, Auteur Année de publication : 2003 Article en page(s) : pp 973 - 980 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] classification par maximum de vraisemblance
[Termes IGN] données lidar
[Termes IGN] orthoimage
[Termes IGN] parcelle cadastrale
[Termes IGN] photographie en couleur
[Termes IGN] ruissellement
[Termes IGN] surface imperméable
[Termes IGN] système expertRésumé : (Auteur) The imperviousness of land parcels was mapped and evaluated using high spatial resolution digitized color orthophotography and surface-cover height extracted from multiple-return lidar data. Maximum-likelihood classification, spectral clustering, and expert system approaches were used to extract the impervious information from the datasets. Classified pixels (segments) were aggregated to parcels. The classification model based on the use of both the orthophotography and lidar-derived surface-cover height yielded impervious surface results for all parcels that were within 15 percent of reference data. The standard error for the rule-based per-pixel model was 7.15 percent with a maximum observed error of 18.94 percent. The maximum-likelihood per-pixel classification yielded a lower standard error of 6.62 percent with a maximum of 14.16 percent. The regression slope (i.e., 0. 955) for the maximum-likelihood per-pixel model indicated a near perfect relationship between observed and predicted imperviousness. The additional effort of using a per-segment approach with a rule-based classification resulted in slightly better standard error (5.85 percent) and a near-perfect regression slope (1.016). Numéro de notice : A2003-227 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.69.9.973 En ligne : https://doi.org/10.14358/PERS.69.9.973 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22522
in Photogrammetric Engineering & Remote Sensing, PERS > vol 69 n° 9 (September 2003) . - pp 973 - 980[article]Texture analysis and classification of ERS SAR images for map updating of urban areas in The Netherlands / R. Dekker in IEEE Transactions on geoscience and remote sensing, vol 41 n° 9 (September 2003)
[article]
Titre : Texture analysis and classification of ERS SAR images for map updating of urban areas in The Netherlands Type de document : Article/Communication Auteurs : R. Dekker, Auteur Année de publication : 2003 Article en page(s) : pp 1950 - 1958 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] 1:250.000
[Termes IGN] analyse texturale
[Termes IGN] cartographie urbaine
[Termes IGN] classification
[Termes IGN] histogramme
[Termes IGN] image ERS-SAR
[Termes IGN] image radar
[Termes IGN] milieu urbain
[Termes IGN] mise à jour cartographique
[Termes IGN] Pays-Bas
[Termes IGN] Rotterdam (Pays-Bas)
[Termes IGN] variogrammeRésumé : (Auteur) In single-band and single-polarized synthetic aperture radar (SAR) image classification, texture holds useful information. In a study to assess the map-updating capabilities of such sensors in urban areas, some modern texture measures were investigated. Among them were histogram measures, wavelet energy, fractal dimension, lacunarity, and semivariograms. The latter were chosen as an alternative for the well-known gray-level cooccurrence family of features. The area that was studied using a European Remote Sensing Satellite 1(ERS1) SAR image was the conurbation around Rotterdam and The Hague in The Netherlands. The area can be characterized as a well-planned dispersed urban area with residential areas, industry, greenhouses, pasture, arable land, and some forest. The digital map to be updated was a 1: 250 000 Vector Map (VMapl). The study was done on the basis of non-parametric separability measures and classification techniques because most texture distributions were not normal. The conclusion is that texture improves the classification accuracy. The measures that performed best were mean intensity (actually no texture), variance, weighted-rank fill ratio, and semivariogram, but the accuracies vary for different classes. Despite the improvement, the overall classification accuracy indicates that the land-cover information content of ERS1 leaves something to be desired. Numéro de notice : A2003-250 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2003.814628 En ligne : https://doi.org/10.1109/TGRS.2003.814628 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22545
in IEEE Transactions on geoscience and remote sensing > vol 41 n° 9 (September 2003) . - pp 1950 - 1958[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-03091 RAB Revue Centre de documentation En réserve L003 Disponible The use of fully polarimetric information for the fuzzy neural classification of SAR images / C.T. Chen in IEEE Transactions on geoscience and remote sensing, vol 41 n° 9 (September 2003)PermalinkMapping multiple variables for predicting soil loss by geostatistical methods with TM images and a slop map / G. Wang in Photogrammetric Engineering & Remote Sensing, PERS, vol 69 n° 8 (August 2003)PermalinkOptimizing a network-based RTK method for OTF [on-the-fly] positioning / L.P. Fortes in GPS solutions, vol 7 n° 2 (August 2003)PermalinkAbsolute calibration of Jason-1 and TOPEX/Poseidon altimeters in Corsica / Pascal Bonnefond in Marine geodesy, vol 26 n°3-4 (July - December 2003)PermalinkGeovariances, Isatis et la géostatistique / Anonyme in Géomatique expert, n° 26 (01/07/2003)PermalinkImpact of topographic normalization on land-cover classification accuracy / S.R. Hale in Photogrammetric Engineering & Remote Sensing, PERS, vol 69 n° 7 (July 2003)PermalinkLand-cover change monitoring with classification trees using Landsat TM and ancillary data / J. Rogan in Photogrammetric Engineering & Remote Sensing, PERS, vol 69 n° 7 (July 2003)PermalinkMultitemporal repeat-pass SAR interferometry of boreal forests / J. Askne in IEEE Transactions on geoscience and remote sensing, vol 41 n° 7 (July 2003)PermalinkReconstitution de la morphologie d'une rivière à méandres par l'utilisation de la photogrammétrie numérique : exemple du Sebou, Maroc / M. Igouzal in Bulletin [Société Française de Photogrammétrie et Télédétection], n° 171 (Juillet 2003)PermalinkEstimating local variations in land use statistics / A. Geddes in International journal of geographical information science IJGIS, vol 17 n° 4 (june 2003)Permalink