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statistique mathématique
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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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Use of high-resolution satellite imagery in an integrated model to predict the distribution of shade coffee tree hybrid zones / C. Gomez in Remote sensing of environment, vol 114 n° 11 (15/11/2010)
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Titre : Use of high-resolution satellite imagery in an integrated model to predict the distribution of shade coffee tree hybrid zones Type de document : Article/Communication Auteurs : C. Gomez, Auteur ; M. Mangeas, Auteur ; Marcel Petit, Auteur ; Christina Corbane, Auteur ; et al., Auteur Année de publication : 2010 Article en page(s) : pp 2731 - 2744 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse texturale
[Termes IGN] carte thématique
[Termes IGN] classification dirigée
[Termes IGN] classification par arbre de décision
[Termes IGN] classification par réseau neuronal
[Termes IGN] Coffea (genre)
[Termes IGN] couvert forestier
[Termes IGN] image à haute résolution
[Termes IGN] image panchromatique
[Termes IGN] image Quickbird
[Termes IGN] modèle numérique de surface
[Termes IGN] Nouvelle-Calédonie
[Termes IGN] ombre
[Termes IGN] pansharpening (fusion d'images)
[Termes IGN] prédictionRésumé : (Auteur) In New Caledonia (21°S, 165°E), shade-grown coffee plantations were abandoned for economic reasons in the middle of the 20th century. Coffee species (Coffea arabica, C. canephora and C. liberica) were introduced from Africa in the late 19th century, they survived in the wild and spontaneously cross-hybridized. Coffee species were originally planted in native forest in association with leguminous trees (mostly introduced species) to improve their growth. Thus the canopy cover over rustic shade coffee plantations is heterogeneous with a majority of large crowns, attributed to leguminous trees. The aim of this study was to identify suitable areas for coffee inter-specific hybridization in New Caledonia using field based environmental parameters and remotely sensed predictors. Due to the complex structure of tropical vegetation, remote sensing imagery needs to be spatially accurate and to have the appropriate bands for monitoring vegetation cover. Quickbird panchromatic (black and white) imagery at 0.6 to 0.7 m spatial resolutions and multispectral imagery at 2.4 m spatial resolution were pansharpened and used for this study. The two most suitable remotely sensed indicators, canopy heterogeneity and tree crown size, were acquired by the sequential use of tree crown detection (neural network), image processing (such as textural analysis) and classification. All models were supervised and trained on learning data determined by human expertise. The final model has two remotely sensed indicators and three physical parameters based on the Digital Elevation Model: elevation, slope and water flow accumulation. Using these five predictive variables as inputs, two modelling methods, a decision tree and a neural network, were implemented. The decision tree, which showed 96.9% accuracy on the test set, revealed the involvement of ecological parameters in the hybridization of Coffea species. We showed that hybrid zones could be characterized by combinations of modalities, underlining the complexity of the environment concerned. For instance, forest heterogeneity and large crown size, steep slopes (> 53.5%) and elevation between 194 and 429 m asl, are favourable factors for Coffea inter-specific hybridization. The application of the neural network on the whole area gave a predictive map that distinguished the most suitable areas by means of a nonlinear continuous indicator. The map provides a confidence level for each area. The most favourable areas were geographically localized, providing a clue for the detection and conservation of favourable areas for Coffea species neo-diversity. Numéro de notice : A2010-402 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2010.06.007 En ligne : https://doi.org/10.1016/j.rse.2010.06.007 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30595
in Remote sensing of environment > vol 114 n° 11 (15/11/2010) . - pp 2731 - 2744[article]A comparison of recent Earth gravitational models with emphasis on their contribution in refining the gravity and geoid at continental or regional scale / D. Arabelos in Journal of geodesy, vol 84 n° 11 (November 2010)
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Titre : A comparison of recent Earth gravitational models with emphasis on their contribution in refining the gravity and geoid at continental or regional scale Type de document : Article/Communication Auteurs : D. Arabelos, Auteur ; C.C. Tscherning, Auteur Année de publication : 2010 Article en page(s) : pp 643 - 660 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géodésie physique
[Termes IGN] analyse comparative
[Termes IGN] champ de pesanteur local
[Termes IGN] champ de pesanteur terrestre
[Termes IGN] covariance
[Termes IGN] données GRACE
[Termes IGN] Earth Gravity Model 1996
[Termes IGN] Earth Gravity Model 2008
[Termes IGN] géoïde terrestreRésumé : (Auteur) Since the publication of the Earth gravitational model (EGM) 96 considerable improvements in the observation techniques resulted in the development of new improved models. The improvements are due to the availability of data from dedicated gravity mapping missions (CHAMP, GRACE) and to the use of 5? * 5? terrestrial and altimetry derived gravity anomalies. It is expected that the use of new EGMs will further contribute to the improvement of the resolution and accuracy of the gravity and geoid modeling in continental and regional scale. To prove this numerically, three representative Earth gravitational models are used for the reduction of several kinds of data related to the gravity field in different places of the Earth. The results of the reduction are discussed regarding the corresponding covariance functions which might be used for modeling using the least squares collocation method. The contribution of the EIGEN-GL04C model in most cases is comparable to that of EGM96. However, the big difference is shown in the case of EGM2008, due not only to its quality but obviously to its high degree of expansion. Almost in all cases the variance and the correlation length of the covariance functions of data reduced to this model up to its maximum degree are only a few percentages of corresponding quantities of the same data reduced up to degree 360. Furthermore, the mean value and the standard deviation of the reduced gravity anomalies in extended areas of the Earth such as Australia, Arctic region, Scandinavia or the Canadian plains, vary between -1 and +1 and between 5 and 10 * 10-5 ms-2, respectively, reflecting the homogenization of the gravity field on a regional scale. This is very important in using least squares collocation for regional applications. However, the distance to the first zero-value was in several cases much longer than warranted by the high degree of the expansion. This is attributed to errors of medium wavelengths stemming from the lack of, e.g., high-quality data in some area. Numéro de notice : A2010-476 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1007/s00190-010-0397-z Date de publication en ligne : 15/09/2010 En ligne : https://doi.org/10.1007/s00190-010-0397-z Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30669
in Journal of geodesy > vol 84 n° 11 (November 2010) . - pp 643 - 660[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 266-2010111 SL Revue Centre de documentation Revues en salle Disponible DTM generalisation : handling large volumes of data for multi-scale mapping / O. Chaudry in Cartographic journal (the), vol 47 n° 4 (November 2010)
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Titre : DTM generalisation : handling large volumes of data for multi-scale mapping Type de document : Article/Communication Auteurs : O. Chaudry, Auteur ; William A Mackaness, Auteur Année de publication : 2010 Article en page(s) : pp 360 - 370 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique
[Termes IGN] données multiéchelles
[Termes IGN] généralisation automatique de données
[Termes IGN] généralisation de MNT
[Termes IGN] modèle numérique de surface
[Termes IGN] modèle numérique de terrain
[Termes IGN] morphologie mathématique
[Termes IGN] partitionnement par bloc
[Termes IGN] représentation multipleRésumé : (Auteur) Map generalisation is a modelling process in which it is typical that detailed, high dimensional geographic phenomena are reduced down to a set of `higher order', yet more generalized set of phenomena (for example, a large cluster of buildings is reduced to `city'). This process of generalisation necessarily requires us to handle large volumes of data which results in high processing overheads. One way of managing this is to partition the data. When geographically partitioning data, we need to partition in such a way that each partition can be generalized without having to consider regions outside any given partition. The focus of this paper is to explore partitioning and generalisation methodologies that can be applied to digital elevation data - the ambition being to derive generalized descriptions of morphology at the National Scale (for the UK). The paper describes and compares two solutions to this problem, and demonstrates how it is possible to apply generalisation algorithms to national coverages. Numéro de notice : A2010-543 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1179/000870410X12825500202896 Date de publication en ligne : 29/11/2013 En ligne : https://doi.org/10.1179/000870410X12825500202896 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30735
in Cartographic journal (the) > vol 47 n° 4 (November 2010) . - pp 360 - 370[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 030-2010041 RAB Revue Centre de documentation En réserve L003 Disponible Local manifold learning-based k-Nearest-Neighbor for hyperspectral image classification / Li Ma in IEEE Transactions on geoscience and remote sensing, vol 48 n° 11 (November 2010)
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Titre : Local manifold learning-based k-Nearest-Neighbor for hyperspectral image classification Type de document : Article/Communication Auteurs : Li Ma, Auteur ; Jing Tian, Auteur Année de publication : 2010 Article en page(s) : pp 1099 - 4109 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] apprentissage automatique
[Termes IGN] classification barycentrique
[Termes IGN] image AVIRIS
[Termes IGN] image EO1-Hyperion
[Termes IGN] image hyperspectraleRésumé : (Auteur) Approaches to combine local manifold learning (LML) and the k -nearest-neighbor (kNN) classifier are investigated for hyperspectral image classification. Based on supervised LML (SLML) and kNN, a new SLML-weighted kNN (SLML-W kNN) classifier is proposed. This method is appealing as it does not require dimensionality reduction and only depends on the weights provided by the kernel function of the specific ML method. Performance of the proposed classifier is compared to that of unsupervised LML (ULML) and SLML for dimensionality reduction in conjunction with the kNN (ULML- kNN and SLML-k NN). Three LML methods, locally linear embedding (LLE), local tangent space alignment (LTSA), and Laplacian eigenmaps, are investigated with these classifiers. In experiments with Hyperion and AVIRIS hyperspectral data, the proposed SLML-WkNN performed better than ULML- kNN and SLML-k NN, and the highest accuracies were obtained using weights provided by supervised LTSA and LLE. Numéro de notice : A2010-479 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2010.2055876 Date de publication en ligne : 23/08/2010 En ligne : https://doi.org/10.1109/TGRS.2010.2055876 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30672
in IEEE Transactions on geoscience and remote sensing > vol 48 n° 11 (November 2010) . - pp 1099 - 4109[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-2010111 RAB Revue Centre de documentation En réserve L003 Disponible Multiple Spectral–Spatial Classification Approach for Hyperspectral Data / Yuliya Tarabalka in IEEE Transactions on geoscience and remote sensing, vol 48 n° 11 (November 2010)
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Titre : Multiple Spectral–Spatial Classification Approach for Hyperspectral Data Type de document : Article/Communication Auteurs : Yuliya Tarabalka, Auteur ; Jon Atli Benediktsson, Auteur ; Jocelyn Chanussot, Auteur ; James C. Tilton, Auteur Année de publication : 2010 Article en page(s) : pp 4122 - 4132 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] classification multibande
[Termes IGN] image aérienne
[Termes IGN] image hyperspectrale
[Termes IGN] segmentation d'imageRésumé : (Auteur) A new multiple-classifier approach for spectral-spatial classification of hyperspectral images is proposed. Several classifiers are used independently to classify an image. For every pixel, if all the classifiers have assigned this pixel to the same class, the pixel is kept as a marker, i.e., a seed of the spatial region with a corresponding class label. We propose to use spectral-spatial classifiers at the preliminary step of the marker-selection procedure, each of them combining the results of a pixelwise classification and a segmentation map. Different segmentation methods based on dissimilar principles lead to different classification results. Furthermore, a minimum spanning forest is built, where each tree is rooted on a classification-driven marker and forms a region in the spectral-spatial classification map. Experimental results are presented for two hyperspectral airborne images. The proposed method significantly improves classification accuracies when compared with previously proposed classification techniques. Numéro de notice : A2010-480 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2010.2062526 Date de publication en ligne : 13/09/2010 En ligne : https://doi.org/10.1109/TGRS.2010.2062526 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30673
in IEEE Transactions on geoscience and remote sensing > vol 48 n° 11 (November 2010) . - pp 4122 - 4132[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-2010111 RAB Revue Centre de documentation En réserve L003 Disponible Noise-signal index threshold: a new noise-reduction technique for generation of reference spectra and efficient hyperspectral image classification / K. Kusuma in Geocarto international, vol 25 n° 7 (November 2010)
PermalinkAnalysing spatio-temporal autocorrelation with LISTA-Viz / F. Hardisty in International journal of geographical information science IJGIS, vol 24 n° 10 (october 2010)
PermalinkAssessing the quality of geoscientific simulation models with visual analytics methods: a design study / D. Dransch in International journal of geographical information science IJGIS, vol 24 n° 10 (october 2010)
PermalinkEffect of SRTM resolution on morphometric feature identification using neural network - self organizing map / A. Ehsani in Geoinformatica, vol 14 n° 4 (October 2010)
PermalinkGéodécisionnel : y'en a pour tous les goûts / Françoise de Blomac in SIG la lettre, n° 120 (octobre 2010)
PermalinkMaking photogrammetry efficient: SimActive's Correlator3D software / P. Simard in Geoinformatics, vol 13 n° 7 (01/10/2010)
PermalinkSimilarity weighted instance-based learning for the generation of transition potentials in land use change modeling / F. Sangermano in Transactions in GIS, vol 14 n° 5 (October 2010)
PermalinkSpace-time density of trajectories : exploring spatio-temporal patterns in movement data / Urška Demšar in International journal of geographical information science IJGIS, vol 24 n° 10 (october 2010)
PermalinkUncertainty analysis for the classification of multispectral satellite images using SVMs and SOMs / F. Giacco in IEEE Transactions on geoscience and remote sensing, vol 48 n° 10 (October 2010)
PermalinkAn ensemble approach to space-time interpolation / E. Wentz in International journal of geographical information science IJGIS, vol 24 n° 9 (september 2010)
PermalinkAutomatic fuzzy clustering using modified differential evolution for image classification / U. Maulik in IEEE Transactions on geoscience and remote sensing, vol 48 n° 9 (September 2010)
PermalinkBackscatter coefficient as an attribute for the classification of full-waveform airborne laser scanning data in urban areas / C. Alexander in ISPRS Journal of photogrammetry and remote sensing, vol 65 n° 5 (September - October 2010)
PermalinkCombinaison linéaire et l'intérêt de la troisième fréquence pour le positionnement en double différence par GPS / L. Tabti in XYZ, n° 124 (septembre - novembre 2010)
PermalinkCombining EGM2008 and SRTM/DTM2006.0 residual terrain model data to improve quasigeoid computations in mountainous areas devoid of gravity data / C. Hirt in Journal of geodesy, vol 84 n° 9 (September 2010)
PermalinkComparison of matching algorithms for DSM generation in urban areas from ikonos imagery / A. Alobeid in Photogrammetric Engineering & Remote Sensing, PERS, vol 76 n° 9 (September 2010)
PermalinkDirected movements in probabilistic time geography / Stephan Winter in International journal of geographical information science IJGIS, vol 24 n° 9 (september 2010)
PermalinkElche : Une dame, des carrières et des cartes / Laurent Costa in Géomatique expert, n° 76 (01/09/2010)
PermalinkEstimation des déplacements causés par la surchage océanique dans l'ouest de la France à l'aide des réseaux GPS permanents / François Fund in XYZ, n° 124 (septembre - novembre 2010)
PermalinkEstimation du potentiel des données lidar multiécho pour l'étude de la végétation des marais salés : Etude du biais des données lidar acquises au-dessus de la baie du Mont-Saint-Michel et recherche d'une méthode de correction / Clélia Bilodeau in Revue Française de Photogrammétrie et de Télédétection, n° 192 (Septembre 2010)
PermalinkExtraction automatique des discontinuités planes à partir d'une scannérisation laser 3D en milieu rocheux / Souhail Hajri in Revue Française de Photogrammétrie et de Télédétection, n° 192 (Septembre 2010)
PermalinkGeometric feature extraction by a multimarked point process / Florent Lafarge in IEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI, vol 32 n° 9 (September 2010)
PermalinkLocal entropy map : a nonparametric approach to detecting spatially varying multivariate relationships / D. Guo in International journal of geographical information science IJGIS, vol 24 n° 9 (september 2010)
PermalinkPersistent scatterer interferometry : potential, limits and initial C- and X-band comparison / M. Crosetto in Photogrammetric Engineering & Remote Sensing, PERS, vol 76 n° 9 (September 2010)
PermalinkTélédétection et salinité. Cartographie de la salinité des sols de la plaine algérienne du Bas-Chéliff / A. Douaoui in Géomatique expert, n° 76 (01/09/2010)
PermalinkA unified approach to self-calibration of terrestrial laser scanners / Yuriy Reshetyuk in ISPRS Journal of photogrammetry and remote sensing, vol 65 n° 5 (September - October 2010)
PermalinkUsing clustering methods in geospatial information systems / X. Wang in Geomatica, vol 64 n° 3 (September 2010)
PermalinkLes débuts de la télédétection spatiale dans la géographie française : témoignage d’un pionnier / Fernand Verger in L'information géographique, vol 74 n° 2 (août 2010)
PermalinkEspace et SIG, une application au Gourma malien / Ibtissem Tounsi-Guérin in L'information géographique, vol 74 n° 2 (août 2010)
PermalinkPredicting southeastern forest canopy heights and fire fuel models using GLAS data / M. Ashworth in Photogrammetric Engineering & Remote Sensing, PERS, vol 76 n° 8 (August 2010)
PermalinkSemisupervised one-class support vector machine for classification of remote sensing data / Jordi Munoz-Mari in IEEE Transactions on geoscience and remote sensing, vol 48 n° 8 (August 2010)
PermalinkTerrestrial laser scanning and exploratory spatial data analysis for the mapping of weathering forms on rock art panels / B. Vogt in Geocarto international, vol 25 n° 5 (August 2010)
PermalinkRecent changes in forest productivity: An analysis of national forest inventory data for common beech (Fagus sylvatica L.) in north-eastern France / Marie Charru in Forest ecology and management, vol 260 n° 5 (30 July 2010)
PermalinkEvaluating terrestrial water storage variations from regionally constrained GRACE mascon data and hydrological models over Southern Africa: preliminary results / P. Krogh in International Journal of Remote Sensing IJRS, vol 31 n° 14 (July 2010)
PermalinkEvaluation of a satellite-based global flood monitoring system / K. Yilmaz in International Journal of Remote Sensing IJRS, vol 31 n° 14 (July 2010)
PermalinkContext-based mapping of damaged buildings from high-resolution optical satellite images / T. Vu in International Journal of Remote Sensing IJRS, vol 31 n° 13 (July /2010)
PermalinkAn application-driven approach to terrain model construction / A. Darnell in International journal of geographical information science IJGIS, vol 24 n°7-8 (july 2010)
PermalinkAn efficient stochastic approach for building footprint extraction from digital elevation models / Olivier Tournaire in ISPRS Journal of photogrammetry and remote sensing, vol 65 n° 4 (July - August 2010)
PermalinkAn integrated bundle adjustment approach to range camera geometric self-calibration / Derek D. Lichti in ISPRS Journal of photogrammetry and remote sensing, vol 65 n° 4 (July - August 2010)
PermalinkExploring population spatial concentrations in Northern Ireland by community background and other characteristics: an application of geographically weighted spatial statistics / C.D. Lloyd in International journal of geographical information science IJGIS, vol 24 n°7-8 (july 2010)
PermalinkGeneration and study of satellite gravity over Gujarat, India and their possible correlation with earthquake occurences / T. Majumba in Geocarto international, vol 25 n° 4 (July 2010)
Permalinkvol 15 n° 4 - juillet - août 2010 - Ingénierie d'entreprise et des systèmes d'information (Bulletin de Ingénierie des systèmes d'information, ISI : Revue des sciences et technologies de l'information, RSTI) / S. Nurcan
PermalinkInteger least-squares theory for the GNSS compass / Peter J.G. Teunissen in Journal of geodesy, vol 84 n° 7 (July 2010)
PermalinkPropagating error in land-cover-change analyses: impact of temporal dependence under increased thematic complexity / A. Burnicki in International journal of geographical information science IJGIS, vol 24 n°7-8 (july 2010)
PermalinkQuantifiying the building stock optical high-resolution satellite imagery for assessing disaster risk / D. Ehrlich in Geocarto international, vol 25 n° 4 (July 2010)
PermalinkA semantic and language-based representation of an environmental scene / J.M. Le Yaouanc in Geoinformatica, vol 14 n° 3 (July 2010)
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