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Termes IGN > mathématiques > statistique mathématique > probabilités > théorie des erreurs > valeur aberrante
valeur aberranteSynonyme(s)observation aberrante |
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Detection of inconsistencies in geospatial data with geostatistics / Adriana Maria Rocha Trancoso Santos in Boletim de Ciências Geodésicas, vol 23 n° 2 (abr - jun 2017)
[article]
Titre : Detection of inconsistencies in geospatial data with geostatistics Type de document : Article/Communication Auteurs : Adriana Maria Rocha Trancoso Santos, Auteur ; Gerson Rodrigues dos Santos, Auteur ; Paulo César Emiliano, Auteur Année de publication : 2017 Article en page(s) : pp 296 - 308 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] cohérence des données
[Termes IGN] détection d'anomalie
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] géostatistique
[Termes IGN] modèle numérique de surface
[Termes IGN] valeur aberrante
[Termes IGN] variable régionaliséeRésumé : (auteur) Almost every researcher has come through observations that “drift” from the rest of the sample, suggesting some inconsistency. The aim of this paper is to propose a new inconsistent data detection method for continuous geospatial data based in Geostatistics, independently from the generative cause (measuring and execution errors and inherent variability data). The choice of Geostatistics is based in its ideal characteristics, as avoiding systematic errors, for example. The importance of a new inconsistent detection method proposal is in the fact that some existing methods used in geospatial data consider theoretical assumptions hardly attended. Equally, the choice of the data set is related to the importance of the LiDAR technology (Light Detection and Ranging) in the production of Digital Elevation Models (DEM). Thus, with the new methodology it was possible to detect and map discrepant data. Comparing it to a much utilized detections method, BoxPlot, the importance and functionality of the new method was verified, since the BoxPlot did not detect any data classified as discrepant. The proposed method pointed that, in average, 1,2% of the data of possible regionalized inferior outliers and, in average, 1,4% of possible regionalized superior outliers, in relation to the set of data used in the study. Numéro de notice : A2017-395 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1590/S1982-21702017000200019 En ligne : http://dx.doi.org/10.1590/S1982-21702017000200019 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=85911
in Boletim de Ciências Geodésicas > vol 23 n° 2 (abr - jun 2017) . - pp 296 - 308[article]Exterior orientation revisited : a robust method based on lq -norm / Jiayuan Li in Photogrammetric Engineering & Remote Sensing, PERS, vol 83 n° 1 (January 2017)
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Titre : Exterior orientation revisited : a robust method based on lq -norm Type de document : Article/Communication Auteurs : Jiayuan Li, Auteur ; Qingwu Hu, Auteur ; Ruofei Zhong, Auteur ; Mingyao Ai, Auteur Année de publication : 2017 Article en page(s) : pp 47 - 56 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s)
[Termes IGN] caméra numérique
[Termes IGN] équation de Lagrange
[Termes IGN] orientation du capteur
[Termes IGN] orientation externe
[Termes IGN] valeur aberranteRésumé : (Auteur) Camera exterior orientation is essential in many photogrammetry and computer vision applications, including 3D reconstruction, digital orthophoto map (DOM) generation, and localization. In this paper, we propose a new formulation of exterior orientation that is robust against gross errors (outliers). Different from classic optimization methods whose cost function is based on the l q -norm of residuals, we use l q -norm (0 Numéro de notice : A2017-037 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.83.1.47 En ligne : https://doi.org/10.14358/PERS.83.1.47 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=84092
in Photogrammetric Engineering & Remote Sensing, PERS > vol 83 n° 1 (January 2017) . - pp 47 - 56[article]New iterative learning strategy to improve classification systems by using outlier detection techniques / Charlotte Pelletier (2017)
Titre : New iterative learning strategy to improve classification systems by using outlier detection techniques Type de document : Article/Communication Auteurs : Charlotte Pelletier, Auteur ; Silvia Valero, Auteur ; Jordi Inglada, Auteur ; Gérard Dedieu, Auteur ; Nicolas Champion , Auteur Editeur : New York : Institute of Electrical and Electronics Engineers IEEE Année de publication : 2017 Conférence : IGARSS 2017, IEEE International Geoscience And Remote Sensing Symposium 23/07/2017 28/07/2017 Fort Worth Texas - Etats-Unis Proceedings IEEE Importance : pp 3676 - 3679 Format : 21 x 30 cm Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] apprentissage automatique
[Termes IGN] classification dirigée
[Termes IGN] classification par forêts d'arbres décisionnels
[Termes IGN] détection d'anomalie
[Termes IGN] itération
[Termes IGN] valeur aberranteRésumé : (auteur) The supervised classification of satellite image time series allows obtaining reliable land cover maps over large areas. However, their quality depends on the reference datasets used for training the classifier. In remote sensing, reference data may lack of timeliness and accuracy which leads to the presence of mislabeled data degrading the classification performances. This work presents an iterative learning framework to deal with noisy instances, that can be seen as outliers. Several outlier detection strategies, based on the well-known Random Forests (RF) ensemble classifier, are proposed, evaluated quantitatively, and then compared with traditional methods. Experimental results have been carried out by using synthetic and real datasets representing annual vegetation profiles. Numéro de notice : C2017-042 Affiliation des auteurs : IGN+Ext (2012-2019) Thématique : IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.1109/IGARSS.2017.8127796 Date de publication en ligne : 04/12/2017 En ligne : https://doi.org/10.1109/IGARSS.2017.8127796 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=91925 An attempt to determine the effect of increase of observation correlations on detectability and identifiability of a single gross error / Witold Proszynski in Geodesy and cartography, vol 65 n° 2 (December 2016)
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Titre : An attempt to determine the effect of increase of observation correlations on detectability and identifiability of a single gross error Type de document : Article/Communication Auteurs : Witold Proszynski, Auteur ; Mieczysław Kwaśniak, Auteur Année de publication : 2016 Article en page(s) : pp 313 - 333 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Statistiques
[Termes IGN] algorithme de décalage moyen
[Termes IGN] analyse de sensibilité
[Termes IGN] cohérence des données
[Termes IGN] corrélation
[Termes IGN] détection d'erreur
[Termes IGN] fiabilité des données
[Termes IGN] valeur aberranteRésumé : (auteur) The paper presents the results of investigating the effect of increase of observation correlations on detectability and identifiability of a single gross error, the outlier test sensitivity and also the response-based measures of internal reliability of networks. To reduce in a research a practically incomputable number of possible test options when considering all the non-diagonal elements of the correlation matrix as variables, its simplest representation was used being a matrix with all non-diagonal elements of equal values, termed uniform correlation. By raising the common correlation value incrementally, a sequence of matrix configurations could be obtained corresponding to the increasing level of observation correlations. For each of the measures characterizing the above mentioned features of network reliability the effect is presented in a diagram form as a function of the increasing level of observation correlations. The influence of observation correlations on sensitivity of the w-test for correlated observations (Förstner 1983, Teunissen 2006) is investigated in comparison with the original Baarda’s w-test designated for uncorrelated observations, to determine the character of expected sensitivity degradation of the latter when used for correlated observations. The correlation effects obtained for different reliability measures exhibit mutual consistency in a satisfactory extent. As a by-product of the analyses, a simple formula valid for any arbitrary correlation matrix is proposed for transforming the Baarda’s w-test statistics into the w-test statistics for correlated observations. Numéro de notice : A2016-980 Affiliation des auteurs : non IGN Thématique : MATHEMATIQUE/POSITIONNEMENT Nature : Article DOI : 10.1515/geocart-2016-0018 En ligne : https://doi.org/10.1515/geocart-2016-0018 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=83697
in Geodesy and cartography > vol 65 n° 2 (December 2016) . - pp 313 - 333[article]Outlier detection by using fault detection and isolation techniques in geodetic networks / U.M. Durdag in Survey review, vol 48 n° 351 (October 2016)
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Titre : Outlier detection by using fault detection and isolation techniques in geodetic networks Type de document : Article/Communication Auteurs : U.M. Durdag, Auteur ; S. Hekimoglu, Auteur ; B. Erdogan, Auteur Année de publication : 2016 Article en page(s) : pp 400 - 408 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Systèmes de référence et réseaux
[Termes IGN] coordonnées GNSS
[Termes IGN] décomposition
[Termes IGN] données GNSS
[Termes IGN] méthode de Monte-Carlo
[Termes IGN] système de référence géodésique
[Termes IGN] valeur aberranteRésumé : (Auteur) Fault detection and isolation (FDI) techniques, which are called standard parity space approach (SPSA) and optimal parity vector approach (OPVA), have been presented in literature extensively for engineering sensor systems or sensor networks. This paper demonstrates the abilities of these approaches to detect and isolate outliers in geodetic networks. The ability to detect and isolate outliers has been measured by computing the mean success rate (MSR) for some given probability of significance levels. These approaches have been applied to a levelling network and a Global Navigation Satellite System (GNSS) network. Different matrix decomposition techniques have been used as an alternative way to the Potter algorithm, which is used in SPSA and OPVA. It has been proven that the abilities of FDI techniques, i.e. the MSRs of OPVA, increase with regard to the ones of SPSA in the levelling network and the GNSS network especially if the significance level α is chosen as 0.001 by using Monte–Carlo simulation. Numéro de notice : A2016-822 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Article DOI : 10.1179/1752270615Y.0000000038 En ligne : https://doi.org/10.1179/1752270615Y.0000000038 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=82638
in Survey review > vol 48 n° 351 (October 2016) . - pp 400 - 408[article]Finding spatial outliers in collective mobility patterns coupled with social ties / Monica Wachowicz in International journal of geographical information science IJGIS, vol 30 n° 9-10 (September - October 2016)PermalinkIdentification of stable areas in unreferenced laser scans for deformation measurement / Daniel Wujanz in Photogrammetric record, vol 31 n° 155 (September - November 2016)PermalinkGeometrical consistency voting strategy for outlier detection in image matching / Luping Lu in Photogrammetric Engineering & Remote Sensing, PERS, vol 82 n° 7 (juillet 2016)PermalinkComparison of robust estimators for leveling networks in Monte Carlo simulations / Maria Pokarowska in Reports on geodesy and geoinformatics, vol 101 (June 2016)PermalinkMIDAS robust trend estimator for accurate GPS station velocities without step detection / Geoffrey Blewitt in Journal of geophysical research : Solid Earth, vol 121 n° 3 (March 2016)PermalinkPermalinkConvex programming approach to robust estimation of a multivariate Gaussian model / Samuel Balmand (2016)PermalinkPermalinkAnalysis of a GNSS network using the theory of reliability for multiple outliers / M Mustafa Berber in Geodetski vestnik, vol 59 n° 3 (September - November 2015)PermalinkOutlier Detection by means of Monte Carlo Estimation including resistant Scale Estimation / Christian Marx in Journal of applied geodesy, vol 9 n° 2 (June 2015)Permalink