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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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Influence of system calibration on direct sensor orientation / N. Yastikli in Photogrammetric Engineering & Remote Sensing, PERS, vol 71 n° 5 (May 2005)
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Titre : Influence of system calibration on direct sensor orientation Type de document : Article/Communication Auteurs : N. Yastikli, Auteur ; Karsten Jacobsen, Auteur Année de publication : 2005 Article en page(s) : pp 629 - 633 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s)
[Termes IGN] antenne GPS
[Termes IGN] erreur aléatoire
[Termes IGN] erreur systématique
[Termes IGN] étalonnage d'instrument
[Termes IGN] étalonnage de capteur (imagerie)
[Termes IGN] GPS-INS
[Termes IGN] ligne de visée
[Termes IGN] modèle mathématique
[Termes IGN] orientation du capteur
[Termes IGN] orientation interne
[Termes IGN] positionnement par GPS
[Termes IGN] système de coordonnéesRésumé : (Auteur) The determination of object coordinates based on direct sensor orientation is an extrapolation from the projection centers to the ground coordinate system. Like any extrapolation, it is sensitive to random and systematic errors, as well as, to improper data handling. Direct sensor orientation is based on the combination of an Inertial Measurement System (IMU) and GPS. The GPS antenna, the IMU, and the imaging sensor are located in different positions, and the latter two have different orientations. Therefore, the calibration of all sensors and the relation between the sensors is of vital importance for precise ground positioning. The system calibration includes the determination of the boresight misalignment, the interior camera orientation, and the GPS antenna offset. A rigorous mathematical model is required. The inner orientation of the camera used has to be determined under flight conditions to achieve sufficient results. In this paper, the influence of the system calibration to the direct sensor orientation and improper data handling will be shown. Numéro de notice : A2005-183 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.71.5.629 En ligne : http://dx.doi.org/10.14358/PERS.71.5.629 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27320
in Photogrammetric Engineering & Remote Sensing, PERS > vol 71 n° 5 (May 2005) . - pp 629 - 633[article]A layered stereo matching algorithm using segmentation and global visibility constraints / M. Bleyer in ISPRS Journal of photogrammetry and remote sensing, vol 59 n° 3 (May 2005)
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Titre : A layered stereo matching algorithm using segmentation and global visibility constraints Type de document : Article/Communication Auteurs : M. Bleyer, Auteur ; M. Gelautz, Auteur Année de publication : 2005 Article en page(s) : pp 128 - 150 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique
[Termes IGN] algorithme de décalage moyen
[Termes IGN] algorithme glouton
[Termes IGN] appariement de données localisées
[Termes IGN] compensation par moindres carrés
[Termes IGN] couche thématique
[Termes IGN] détection de partie cachée
[Termes IGN] extraction de couche
[Termes IGN] fenêtre (informatique)
[Termes IGN] graphe planaire
[Termes IGN] programmation par contraintes
[Termes IGN] segmentation d'image
[Termes IGN] visibilité
[Termes IGN] visualisation 3D
[Termes IGN] zone tamponRésumé : (Auteur) This work describes a stereo algorithm that takes advantage of image segmentation, assuming that disparity varies smoothly inside a segment of homogeneous colour and depth discontinuities coincide with segment borders. Image segmentation allows our method to generate correct disparity estimates in large untextured regions and precisely localize depth boundaries. The disparity inside a segment is represented by a planar equation. To derive the plane model, an initial disparity map is generated. We use a window-based approach that exploits the results of segmentation. The size of the match window is chosen adaptively. A segment's planar model is then derived by robust least squared error fitting using the initial disparity map. In a layer extraction step, disparity segments that are found to be similar according to a plane dissimilarity measurement are combined to form a single robust layer. We apply a modified mean-shift algorithm to extract clusters of similar disparity segments. Segments of the same cluster build a layer, the plane parameters of which are computed from its spatial extent using the initial disparity map. We then optimize the assignment of segments to layers using a global cost function. The quality of the disparity map is measured by warping the reference image to the second view and comparing it with the real image. Z-buffering enforces visibility and allows the explicit detection of occlusions. The cost function measures the colour dissimilarity between the warped and real views, and penalizes occlusions and neighbouring segments that are assigned to different layers. Since the problem of finding the assignment of segments to layers that minimizes this cost function is NP-complete, an efficient greedy algorithm is applied to find a local minimum. Layer extraction and assignment are alternately applied. Qualitative and quantitative results obtained for benchmark image pairs show that the proposed algorithm outperforms most state-of-the-art matching algorithms currently listed on the Middlebury stereo evaluation website. The technique achieves particularly good results in areas with depth discontinuities and related occlusions, where missing stereo information is substituted from surrounding regions. Furthermore, we apply the algorithm to a self-recorded image set and show 3D visualizations of the derived results. Numéro de notice : A2005-229 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2005.02.008 En ligne : https://doi.org/10.1016/j.isprsjprs.2005.02.008 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27366
in ISPRS Journal of photogrammetry and remote sensing > vol 59 n° 3 (May 2005) . - pp 128 - 150[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-05011 SL Revue Centre de documentation Revues en salle Disponible Least squares 3D surface and curve matching / Armin W. Gruen in ISPRS Journal of photogrammetry and remote sensing, vol 59 n° 3 (May 2005)
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Titre : Least squares 3D surface and curve matching Type de document : Article/Communication Auteurs : Armin W. Gruen, Auteur ; Devrim Akca, Auteur Année de publication : 2005 Article en page(s) : pp 151 - 174 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique
[Termes IGN] appariement de formes
[Termes IGN] balayage laser
[Termes IGN] courbe
[Termes IGN] données localisées 3D
[Termes IGN] méthode des moindres carrés
[Termes IGN] modèle de Gauss-Markov
[Termes IGN] modélisation 3D
[Termes IGN] semis de points
[Termes IGN] surface (géométrie)Résumé : (Auteur) The automatic co-registration of point clouds, representing 3D surfaces, is a relevant problem in 3D modeling. This multiple registration problem can be defined as a surface matching task. We treat it as least squares matching of overlapping surfaces. The surface may have been digitized/sampled point by point using a laser scanner device, a photogrammetric method or other surface measurement techniques. Our proposed method estimates the transformation parameters of one or more 3D search surfaces with respect to a 3D template surface, using the Generalized Gauss–Markoff model, minimizing the sum of squares of the Euclidean distances between the surfaces. This formulation gives the opportunity of matching arbitrarily oriented 3D surface patches. It fully considers 3D geometry. Besides the mathematical model and execution aspects we address the further extensions of the basic model. We also show how this method can be used for curve matching in 3D space and matching of curves to surfaces. Some practical examples based on the registration of close-range laser scanner and photogrammetric point clouds are presented for the demonstration of the method. This surface matching technique is a generalization of the least squares image matching concept and offers high flexibility for any kind of 3D surface correspondence problem, as well as statistical tools for the analysis of the quality of final matching results. Copyright ISPRS Numéro de notice : A2005-230 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2005.02.006 En ligne : https://doi.org/10.1016/j.isprsjprs.2005.02.006 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27367
in ISPRS Journal of photogrammetry and remote sensing > vol 59 n° 3 (May 2005) . - pp 151 - 174[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-05011 SL Revue Centre de documentation Revues en salle Disponible Representing and reducing error in natural-resource classification using model combination / Zhi Huang in International journal of geographical information science IJGIS, vol 19 n° 5 (may 2005)
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Titre : Representing and reducing error in natural-resource classification using model combination Type de document : Article/Communication Auteurs : Zhi Huang, Auteur Année de publication : 2005 Article en page(s) : pp 603 - 621 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] analyse comparative
[Termes IGN] classification de Dempster-Shafer
[Termes IGN] classification par arbre de décision
[Termes IGN] classification par réseau neuronal
[Termes IGN] erreur d'attribut
[Termes IGN] erreur d'échantillon
[Termes IGN] précision de la classification
[Termes IGN] propagation d'erreur
[Termes IGN] ressources naturellesRésumé : (Auteur) Artificial Intelligence (AI) models such as Artificial Neural Networks (ANNs), Decision Trees and Dempster-Shafer's Theory of Evidence have long claimed to be more error-tolerant than conventional statistical models, but the way error is propagated through these models is unclear. Two sources of error have been identified in this study: sampling error and attribute error. The results show that these errors propagate differently through the three AI models. The Decision Tree was the most affected by error, the Artificial Neural Network was less affected by error, and the Theory of Evidence model was not affected by the errors at all. The study indicates that AI models have very different modes of handling errors. In this case, the machine-learning models, including ANNs and Decision Trees, are more sensitive to input errors. Dempster-Shafer's Theory of Evidence has demonstrated better potential in dealing with input errors when multisource data sets are involved. The study suggests a strategy of combining AI models to improve classification accuracy. Several combination approaches have been applied, based on a 'majority voting system', a simple average, Dempster-Shafer's Theory of Evidence, and fuzzy-set theory. These approaches all increased classification accuracy to some extent. Two of them also demonstrated good performance in handling input errors. Second-stage combination approaches which use statistical evaluation of the initial combinations are able to further improve classification results. One of these second-stage combination approaches increased the overall classification accuracy on forest types to 54% from the original 46.5% of the Decision Tree model, and its visual appearance is also much closer to the ground data. By combining models, it becomes possible to calculate quantitative confidence measurements for the classification results, which can then serve as a better error representation. Final classification products include not only the predicted hard classes for individual cells, but also estimates of the probability and the confidence measurements of the prediction. Numéro de notice : A2005-239 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1080/13658810500032446 En ligne : https://doi.org/10.1080/13658810500032446 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27376
in International journal of geographical information science IJGIS > vol 19 n° 5 (may 2005) . - pp 603 - 621[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 079-05051 RAB Revue Centre de documentation En réserve L003 Disponible 079-05052 RAB Revue Centre de documentation En réserve L003 Disponible A subdivision algorithm for smooth 3D terrain models / Norbert Pfeifer in ISPRS Journal of photogrammetry and remote sensing, vol 59 n° 3 (May 2005)
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Titre : A subdivision algorithm for smooth 3D terrain models Type de document : Article/Communication Auteurs : Norbert Pfeifer, Auteur Année de publication : 2005 Article en page(s) : pp 115 - 127 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique
[Termes IGN] lever souterrain
[Termes IGN] lissage de données
[Termes IGN] modèle numérique de terrain
[Termes IGN] noeud
[Termes IGN] ouvrage d'art
[Termes IGN] reconstruction 3D
[Termes IGN] tessellationRésumé : (Auteur) Current terrain modelling algorithms are not capable of reconstructing 3D surfaces, but are restricted to so-called 2.5D surfaces: for one planimetric position only one height may exist. The objective of this paper is to extend terrain relief modelling to 3D. In a 3D terrain model overhangs and caves, cliffs and tunnels will be presented correctly. Random measurement errors, limitations in data sampling and the requirement for a smooth surface rule out a triangulation of the original measurements as the final terrain model. A new algorithm, starting from a triangular mesh in 3D and following the subdivision paradigm will be presented. It is a stepwise refinement of a polygonal mesh, in which the location of the vertices on the next level is computed from the vertices on the current level. This yields a series of triangulated terrain surfaces with increasing point density and smaller angles between adjacent triangles, converging to a smooth surface. With the proposed algorithm, the special requirements in terrain modelling, e.g. breaklines can be considered. The refinement process can be stopped as soon as a resolution suitable for a specific application is obtained. Examples of an overhang, a bridge which is modelled as part of the terrain surface and for a 2.5D terrain surface are presented. The implications of extending modelling to 3D are discussed for typical terrain model applications. Numéro de notice : A2005-228 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2004.09.002 Date de publication en ligne : 23/03/2005 En ligne : https://doi.org/10.1016/j.isprsjprs.2004.09.002 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27365
in ISPRS Journal of photogrammetry and remote sensing > vol 59 n° 3 (May 2005) . - pp 115 - 127[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-05011 SL Revue Centre de documentation Revues en salle Disponible Land covers change detection at coarse spatial scales based on iterative estimation and previous state information / Sylvie Le Hégarat-Mascle in Remote sensing of environment, vol 95 n° 4 (30/04/2005)
PermalinkA method for detecting large-scale forest covers change using coarse spatial resolution imagery / R.H. Fraser in Remote sensing of environment, vol 95 n° 4 (30/04/2005)
PermalinkA comparison of local variance, fractal dimension, and Moran's index as aids to multispectral image classification / C.W. Emerson in International Journal of Remote Sensing IJRS, vol 26 n° 8 (April 2005)
PermalinkRapid response for cloud monitoring through Meteosat VIS-IR and NOAA-A/TOVS image fusion: civil application. A first approach to MSG-SEVIRI / C. Casanova in International Journal of Remote Sensing IJRS, vol 26 n° 8 (April 2005)
PermalinkLandsat-7 ETM+ radiometric normalization comparison for northern mapping application / I. Olthof in Remote sensing of environment, vol 95 n° 3 (15/04/2005)
PermalinkSignature extension through space for northern landcover classification: a comparison of radiometric correction methods / I. Olthof in Remote sensing of environment, vol 95 n° 3 (15/04/2005)
PermalinkLand covers update by supervised classification of segmented ASTER images / A.R.S. Marcal in International Journal of Remote Sensing IJRS, vol 26 n° 7 (April 2005)
PermalinkSPOT-4 Vegetation multi-temporal compositing for land cover change studies over tropical regions / João M.B. Carreiras in International Journal of Remote Sensing IJRS, vol 26 n° 7 (April 2005)
PermalinkUpdating land cover classification using a rule-based decision system / Damien Raclot in International Journal of Remote Sensing IJRS, vol 26 n° 7 (April 2005)
PermalinkAn unsupervised approach based on the generalized Gaussian model to automatic change detection in multitemporal SAR images / Y. Bazi in IEEE Transactions on geoscience and remote sensing, vol 43 n° 4 (April 2005)
PermalinkHierarchical recovery of digital terrain models from single and multiple return lidar data / Y. Hu in Photogrammetric Engineering & Remote Sensing, PERS, vol 71 n° 4 (April 2005)
PermalinkIntegration of spatial and spectral information by means of unsupervised extraction and classification for homogenous objects applied to multispectral and hyperspectral data / L.O. Jimenez in IEEE Transactions on geoscience and remote sensing, vol 43 n° 4 (April 2005)
PermalinkMultivariate analysis and geovisualization with an integrated geographic knowledge discovery approach / D. Guo in Cartography and Geographic Information Science, vol 32 n° 2 (April 2005)
PermalinkOn improving navigation accuracy of GPS/INS systems / Dorota A. Grejner-Brzezinska in Photogrammetric Engineering & Remote Sensing, PERS, vol 71 n° 4 (April 2005)
PermalinkPedestrian dead reckoning : a solution to navigation in GPS signal degraded areas? / O. Mezentsev in Geomatica, vol 59 n° 2 (April 2005)
PermalinkUse of the Bradley-Terry model to quantify association in remotely sensed images / Alfred Stein in IEEE Transactions on geoscience and remote sensing, vol 43 n° 4 (April 2005)
PermalinkAutomatic detection of oil spills from SAR images / F. Nirchio in International Journal of Remote Sensing IJRS, vol 26 n° 6 (March 2005)
PermalinkEstimating tropical pasture quality at canopy level using band depth analysis with continuum removal in the visible domain / Onisimo Mutanga in International Journal of Remote Sensing IJRS, vol 26 n° 6 (March 2005)
PermalinkRemote sensing image thresholding methods for determining landslide activity / P.L. Rosin in International Journal of Remote Sensing IJRS, vol 26 n° 6 (March 2005)
PermalinkA land cover distribution composite image from coarse spatial resolution images using an unmixing method / T.M. Uenishi in International Journal of Remote Sensing IJRS, vol 26 n° 5 (March 2005)
PermalinkL'apport des données du satellite SPOT 5 à l'étude des zones humides en Bretagne nord : application au bassin versant du Jaudy-Guindy-Bizien / S. Saloum in Photo interprétation, vol 41 n° 1 (Mars 2005)
PermalinkA Bayesian approach to classification of multiresolution remote sensing data / G. Storvik in IEEE Transactions on geoscience and remote sensing, vol 43 n° 3 (March 2005)
PermalinkClassification orientée objet de la perméabilité des sols en zone urbaine à l'aide d'imagerie très haute résolution et de données laser scanner à Curitiba (Brésil) / A. Karsenty in XYZ, n° 102 (mars - mai 2005)
PermalinkDelaunay triangulation structured kriging for surface interpolation / Yaron Felus in Surveying and land information science, vol 65 n° 1 (01/03/2005)
PermalinkDoris satellite antenna maps derived from long-term residuals time series / Pascal Willis in Advances in space research, vol 36 n° 3 (March 2005)
PermalinkInteroperability on time: GPS-Galileo offset will bias position / A. Moudrak in GPS world, vol 16 n° 3 (March 2005)
PermalinkInventaires spatialisés de polluants atmosphériques : élaboration et utilisation dans un système d'information géographique / Y. Martinet in Revue internationale de géomatique, vol 15 n° 1 (mars – mai 2005)
PermalinkLong-term stability of the terrestrial reference frame / Zuheir Altamimi in Advances in space research, vol 36 n° 3 (March 2005)
PermalinkNested hyper-rectangle learning model for remote sensing: land-cover classification / L. Chen in Photogrammetric Engineering & Remote Sensing, PERS, vol 71 n° 3 (March 2005)
PermalinkPartially supervised classification of remote sensing images through SVM-based probability density estimation / P. Mantero in IEEE Transactions on geoscience and remote sensing, vol 43 n° 3 (March 2005)
PermalinkSparse grids: a new predictive modelling method for the analysis of geographic data / S.W. Laffan in International journal of geographical information science IJGIS, vol 19 n° 3 (march 2005)
PermalinkTyphoon insurance pricing with spatial decision support tools / L. Li in International journal of geographical information science IJGIS, vol 19 n° 3 (march 2005)
PermalinkUtilisation des anomalies morphologiques sur des images à très haute résolution dans la détection de dommages occasionnés par des séismes sur un milieu urbain peu densifié / G. Andre in Photo interprétation, vol 41 n° 1 (Mars 2005)
PermalinkMapping tropical forest structure in south-eastern Madagascar using remote sensing and artificial neural networks / J.C. Ingram in Remote sensing of environment, vol 94 n° 4 (28/02/2005)
PermalinkGIS and remote sensing as tools for the simulation of urban land-use change / C.M. Almeida in International Journal of Remote Sensing IJRS, vol 26 n° 4 (February 2005)
PermalinkA novel method for generating 3D city models from high resolution and multi-sensor remote sensing data / Jochen Schiewe in International Journal of Remote Sensing IJRS, vol 26 n° 4 (February 2005)
PermalinkThe utility of texture analysis to improve per-pixel classification for high to very high spatial resolution imagery / Anne Puissant in International Journal of Remote Sensing IJRS, vol 26 n° 4 (February 2005)
PermalinkUrban development in the Athens metropolitan area using remote sensing data with supervised analysis and GIS / Christiane Weber in International Journal of Remote Sensing IJRS, vol 26 n° 4 (February 2005)
PermalinkSatellite image classification using genetically guided fuzzy clustering with spatial information / S. Bandyopadhyay in International Journal of Remote Sensing IJRS, vol 26 n° 3 (February 2005)
PermalinkAnalysis of land use drivers at the watershed and household level: Linking two paradigms at the Philippine forest fringe / K.P. Overmars in International journal of geographical information science IJGIS, vol 19 n° 2 (february 2005)
PermalinkAnalysis of scale dependencies in an urban land-use-change model / C.A. Jantz in International journal of geographical information science IJGIS, vol 19 n° 2 (february 2005)
PermalinkCalibrating a neural network-based urban change model for two metropolitan areas of the upper Midwest of the United States / B.C. Pijanowski in International journal of geographical information science IJGIS, vol 19 n° 2 (february 2005)
PermalinkComparison of the structure and accuracy of two land change models / Robert Gilmore Pontius in International journal of geographical information science IJGIS, vol 19 n° 2 (february 2005)
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