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Termes IGN > mathématiques > statistique mathématique > probabilités > théorie des erreurs > valeur aberrante
valeur aberranteSynonyme(s)observation aberrante |
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A fast and automatic sparse deconvolution in the presence of outliers / A. Gholami in IEEE Transactions on geoscience and remote sensing, vol 50 n° 10 Tome 2 (October 2012)
[article]
Titre : A fast and automatic sparse deconvolution in the presence of outliers Type de document : Article/Communication Auteurs : A. Gholami, Auteur ; M. Sacchi, Auteur Année de publication : 2012 Article en page(s) : pp 4105 - 4116 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Statistiques
[Termes IGN] déconvolution
[Termes IGN] séisme
[Termes IGN] valeur aberranteRésumé : (Auteur) We present an efficient deconvolution method to retrieve sparse reflectivity series from seismic data in the presence of additive Gaussian and non-Gaussian noise. The problem is first formulated as an unconstrained optimization including a mixed lp - l1 measure for the data misfit and for the model regularization term, respectively. An efficient algorithm based on the alternating split Bregman technique is developed, and a numerical procedure based on the generalized cross-validation (GCV) technique is presented for the selection of the corresponding regularization parameter. To circumvent excessive computations of multiple optimizations to determine the minimizer of GCV curve, we formulate the deconvolution problem in the frequency domain as a basis pursuit denoising and solve it using the split Bregman algorithm with computational complexity O(Nlog(N)). Apart from significant stability against outliers in the data, the main advantage of such formulation is that the GCV curve can be generated during the iterations of the optimization procedure. The minimizer of the GCV curve is then used to properly determine the error bound in the data and hence the optimum number of iterations. Numerical experiments show that the proposed method automatically generates high-resolution solutions by only a few iterations needless of any prior knowledge about the noise in the data. Numéro de notice : A2012-529 Affiliation des auteurs : non IGN Thématique : MATHEMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2012.2189777 Date de publication en ligne : 17/04/2012 En ligne : https://doi.org/10.1109/TGRS.2012.2189777 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31975
in IEEE Transactions on geoscience and remote sensing > vol 50 n° 10 Tome 2 (October 2012) . - pp 4105 - 4116[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-2012101B MANQUANT Revue Centre de documentation Indéterminé Disponible Hyperspectral band clustering and band selection for urban land cover classification / H. Su in Geocarto international, vol 27 n° 5 (August 2012)
[article]
Titre : Hyperspectral band clustering and band selection for urban land cover classification Type de document : Article/Communication Auteurs : H. Su, Auteur ; Q. Du, Auteur Année de publication : 2012 Article en page(s) : pp 39 - 411 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse de groupement
[Termes IGN] classification par séparateurs à vaste marge
[Termes IGN] classification semi-dirigée
[Termes IGN] image hyperspectrale
[Termes IGN] milieu urbain
[Termes IGN] occupation du sol
[Termes IGN] précision de la classification
[Termes IGN] signature spectrale
[Termes IGN] valeur aberranteRésumé : (Auteur) The aim of this study is to combine band clustering with band selection for dimensionality reduction of hyperspectral imagery. The performance of dimensionality reduction is evaluated through urban land cover classification accuracy with the dimensionality-reduced data. Different from unsupervised clustering using all the pixels or supervised clustering requiring labelled pixels, the discussed semi-supervised band clustering needs class spectral signatures only; band selection result is used as initial condition for band clustering; after clustering, a cluster selection step is applied to select clusters to be used in the following data analysis. In this article, we propose to conduct band selection by removing outlier bands in each cluster before finalizing cluster centres. The experimental results in urban land cover classification show that the proposed algorithm can further enhance support vector machine (SVM)-based classification accuracy. Numéro de notice : A2012-370 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2011.643322 Date de publication en ligne : 12/01/2012 En ligne : https://doi.org/10.1080/10106049.2011.643322 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31816
in Geocarto international > vol 27 n° 5 (August 2012) . - pp 39 - 411[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 059-2012051 RAB Revue Centre de documentation En réserve L003 Disponible A fuzzy index for detecting spatiotemporal outliers / George Grekousis in Geoinformatica, vol 16 n° 3 (July 2012)
[article]
Titre : A fuzzy index for detecting spatiotemporal outliers Type de document : Article/Communication Auteurs : George Grekousis, Auteur ; Y. Fotis, Auteur Année de publication : 2012 Article en page(s) : pp 597 - 619 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] détection automatique
[Termes IGN] indexation spatiale
[Termes IGN] logique floue
[Termes IGN] valeur aberranteRésumé : (Auteur) The detection of spatial outliers helps extract important and valuable information from large spatial datasets. Most of the existing work in outlier detection views the condition of being an outlier as a binary property. However, for many scenarios, it is more meaningful to assign a degree of being an outlier to each object. The temporal dimension should also be taken into consideration. In this paper, we formally introduce a new notion of spatial outliers. We discuss the spatiotemporal outlier detection problem, and we design a methodology to discover these outliers effectively. We introduce a new index called the fuzzy outlier index, Foi, which expresses the degree to which a spatial object belongs to a spatiotemporal neighbourhood. The proposed outlier detection method can be applied to phenomena evolving over time, such as moving objects, pedestrian modelling or credit card fraud. Numéro de notice : A2012-111 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1007/s10707-011-0145-4 Date de publication en ligne : 12/10/2011 En ligne : https://doi.org/10.1007/s10707-011-0145-4 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31559
in Geoinformatica > vol 16 n° 3 (July 2012) . - pp 597 - 619[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 057-2012031 RAB Revue Centre de documentation En réserve L003 Disponible Comparison of four line-based positional assessment methods by means of synthetic data / F. Arira-Lopez in Geoinformatica, vol 16 n° 2 (April 2012)
[article]
Titre : Comparison of four line-based positional assessment methods by means of synthetic data Type de document : Article/Communication Auteurs : F. Arira-Lopez, Auteur ; A. Mozas-Calvache, Auteur Année de publication : 2012 Article en page(s) : pp 221 - 243 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique
[Termes IGN] distance de Hausdorff
[Termes IGN] estimation de position
[Termes IGN] qualité des données
[Termes IGN] valeur aberrante
[Termes IGN] zone tamponRésumé : (Auteur) Positional accuracy of spatial data can be assessed by means of line-based methods. In this work we develop an analysis of the following four methods: Hausdorff Distance, Mean Distance, Single Buffer Overlay and Double Buffer Overlay, using a set of 12 synthetic cases. The synthetic cases incorporate specific shape features for bias, random errors and outliers which correspond to simplified versions of real world possibilities. The use of synthetic cases helps us to understand the basic behavioral differences between the methods. Numerical results for the positional accuracy estimations are different between methods and cases due to the different concepts of distance involved and the specific configurations of each case. When the method results in a function, patterns related to different types of errors can be detected in this function. The length-inclusion level of each method is revealed as the base criterion for comparison. The Single Buffer Overlay Method offers the more general solution because it includes the others’ results. Numéro de notice : A2012-087 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1007/s10707-011-0130-y Date de publication en ligne : 01/07/2011 En ligne : https://doi.org/10.1007/s10707-011-0130-y Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31535
in Geoinformatica > vol 16 n° 2 (April 2012) . - pp 221 - 243[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 057-2012021 RAB Revue Centre de documentation En réserve L003 Disponible A simple and robust feature point matching algorithm based on restricted spatial order constraints for aerial image registration / Z. Liu in IEEE Transactions on geoscience and remote sensing, vol 50 n° 2 (February 2012)
[article]
Titre : A simple and robust feature point matching algorithm based on restricted spatial order constraints for aerial image registration Type de document : Article/Communication Auteurs : Z. Liu, Auteur ; J. An, Auteur ; Y. Jing, Auteur Année de publication : 2012 Article en page(s) : pp 514 - 527 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image mixte
[Termes IGN] appariement de graphes
[Termes IGN] appariement de points
[Termes IGN] image aérienne
[Termes IGN] image optique
[Termes IGN] image radar moirée
[Termes IGN] programmation par contraintes
[Termes IGN] superposition d'images
[Termes IGN] valeur aberranteRésumé : (Auteur) Accurate point matching is a critical and challenging process in feature-based image registration. In this paper, a simple and robust feature point matching algorithm, called Restricted Spatial Order Constraints (RSOC), is proposed to remove outliers for registering aerial images with monotonous backgrounds, similar patterns, low overlapping areas, and large affine transformation. In RSOC, both local structure and global information are considered. Based on adjacent spatial order, an affine invariant descriptor is defined, and point matching is formulated as an optimization problem. A graph matching method is used to solve it and yields two matched graphs with a minimum global transformation error. In order to eliminate dubious matches, a filtering strategy is designed. The strategy integrates two-way spatial order constraints and two decision criteria restrictions, i.e., the stability and accuracy of transformation error. Twenty-nine pairs of optical and Synthetic Aperture Radar (SAR) aerial images are utilized to evaluate the performance. Compared with RANdom SAmple Consensus (RANSAC), Graph Transformation Matching (GTM), and Spatial Order Constraints (SOC), RSOC obtained the highest precision and stability. Numéro de notice : A2012-046 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2011.2160645 Date de publication en ligne : 04/08/2011 En ligne : https://doi.org/10.1109/TGRS.2011.2160645 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31494
in IEEE Transactions on geoscience and remote sensing > vol 50 n° 2 (February 2012) . - pp 514 - 527[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-2012021 RAB Revue Centre de documentation En réserve L003 Disponible Robust determination of station positions and Earth orientation parameters by VLBI intra-technique combination / S. Böckmann (2012)PermalinkAutomatic georeferencing of aerial images using stereo high-resolution satellite images / J. Oh in Photogrammetric Engineering & Remote Sensing, PERS, vol 77 n° 11 (November 2011)PermalinkAutomatic estimation of fine terrain models from multiple high-resolution satellite images / Nicolas Champion (2009)PermalinkAssessing geometric reliability of corrected images from very high resolution satellites / M. Aguilar in Photogrammetric Engineering & Remote Sensing, PERS, vol 74 n° 12 (December 2008)PermalinkPermalinkEvaluation et amélioration des performances de la chaine MNT P+XS SPOT5 / Jean Figuerola (2008)PermalinkSolving algebraic computational problems in geodesy and geoinformatics / Joseph L. Awange (2005)PermalinkDigital Elevation Model technologies and applications / D.F. Maune (2001)PermalinkPermalinkAusgleichung mit singulärer Varianzkovarianzmatrix am Beispiel der geometrischen Deformationsanalyse / G. Nkuite (1998)PermalinkIntegration of satellite data in local geodetic networks / K. Engsager (1998)PermalinkEvaluation du module professionnel de l'outil de photogrammétrie numérique ortho max, tests d'applications sur des données aériennes et satellitales / A. Ricotta (1997)PermalinkA technique for the removal of outliers during a computerised map generalisation process / Nicholas J. Brown in Cartographic journal (the), vol 33 n° 1 (June 1996)PermalinkKonzeptstudie für die Berechnungsarbeiten bei der Erneuerung geodätischer Netze / E. Kistler (1994)PermalinkModélisation et estimation des erreurs de mesure / M. Neuilly (1993)PermalinkLe poids des observations dans la méthode des moindres carrés / André Fontaine (1991)PermalinkA robust strategy for the detection of multiple outliers / K. Owolabi (02/04/1989)PermalinkSeminar mathematical models of geodetic-photogrammetric point determination with regards to outliers and systematice errors, Working Group 3-1 of ISP, Commission A of OEEPE (Aerial triangulation) / F. Ackermann (1983)PermalinkDie Suche nach groben Fehlern in photogrammetrischen Lageblöcken / Wolfgang Förstner (1978)PermalinkEssai sur l'élimination automatique des observations aberrantes dans un calcul par moindres carrés / Henri Marcel Dufour (1973)Permalink