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Problèmes inverses en imagerie et en vision, 2. Volume 2 / A. Mohammad-Djafari (2009)
Titre de série : Problèmes inverses en imagerie et en vision, 2 Titre : Volume 2 Type de document : Monographie Auteurs : A. Mohammad-Djafari, Éditeur scientifique Editeur : Paris : Lavoisier Année de publication : 2009 Collection : Traité IC2 - Information - Commande - Communication Sous-collection : Traité Signal et Image Importance : 480 p. Format : 16 x 24 cm ISBN/ISSN/EAN : 978-2-7462-1999-1 Langues : Français (fre) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] chaîne de Markov
[Termes IGN] estimation bayesienne
[Termes IGN] fusion d'images
[Termes IGN] modèle de Gauss-Markov
[Termes IGN] reconstruction 3D
[Termes IGN] reconstruction d'image
[Termes IGN] tomographieIndex. décimale : 35.20 Traitement d'image Résumé : (Editeur) La notion de problème inverse est maintenant devenue familière, en particulier dans les domaines de l'imagerie et de la vision par ordinateur. Parmi ces problèmes, on trouve le débruitage, la restauration par déconvolution, la ségmentation, la reconstruction 2D ou 3D en tomographie X ou en imagerie micro-onde, la reconstruction de la surface d'un objet 3D en tomographie X ou à partir de ses ombres, la reconstruction de la surface d'une scène 3D à partir de plusieurs photos satellitaires, mais aussi la construction d'une image haute résolution à partir de plusieurs images de basse résolution (super-résolution), l'estimation de mouvement dans une séquence d'images ou encore la séparation de plusieurs images mélangées par des instruments de sensibilités ou de fonctions de transfert différentes. Tous ces sujets sont présentés dans les divers chapitres de ce livre tout en gardant une même méthodologie de l'inversion sous l'angle déterministe (moindres carrés, régularisation) ou probabiliste (modélisation markovienne et estimation bayésienne). Note de contenu : 7 - SUPER-RESOLUTION
8 - RECONSTRUCTION DES SURFACES EN TOMOGRAPHIE
9 - APPROCHE BAYESIENNE EN IMAGERIE MICRO-ONDE
10 - RECONSTRUCTION 3D A PARTIR DES OMBRAGES
11 - SEPARATION D'IMAGES
12 - RECONSTRUCTION STEREO
13 - FUSION ET MULTIMODALITENuméro de notice : 20394B Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Recueil / ouvrage collectif Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=41786 Réservation
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Code-barres Cote Support Localisation Section Disponibilité 20394-02B 35.20 Livre Centre de documentation Télédétection Disponible 20394-01B 35.20 Livre Centre de documentation Télédétection Disponible Sensitivity analysis of spatial models / Linda Lilburne in International journal of geographical information science IJGIS, vol 23 n° 1-2 (january 2009)
[article]
Titre : Sensitivity analysis of spatial models Type de document : Article/Communication Auteurs : Linda Lilburne, Auteur ; S. Tarantola, Auteur Année de publication : 2009 Article en page(s) : pp 151 - 168 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] analyse de sensibilité
[Termes IGN] analyse spatiale
[Termes IGN] contamination
[Termes IGN] eau souterraine
[Termes IGN] méthode de Monte-Carlo
[Termes IGN] nitrateRésumé : (Auteur) Sensitivity analysis is the study of how uncertainty in model predictions is determined by uncertainty in model inputs. A global sensitivity analysis considers the potential effects from the simultaneous variation of model inputs over their finite range of uncertainty. A number of techniques are available to carry out global sensitivity analysis from a set of Monte Carlo simulations; some techniques are more efficient than others, depending on the strategy used to sample the uncertainty of model inputs and on the formulae employed for estimating sensitivity measures. The most common approaches are summarised in this paper by focusing on the limitations of each in the context of a sensitivity analysis of a spatial model. A novel approach for undertaking a spatial sensitivity analysis (based on the method of Sobol' and its related improvements) is proposed and tested. This method makes no assumptions about the model and enables the analysis of spatially distributed, uncertain inputs. The proposed approach is illustrated with a simple test model and a groundwater contaminant model. Copyright Taylor & Francis Numéro de notice : A2009-131 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658810802094995 En ligne : https://doi.org/10.1080/13658810802094995 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29761
in International journal of geographical information science IJGIS > vol 23 n° 1-2 (january 2009) . - pp 151 - 168[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 079-09011 RAB Revue Centre de documentation En réserve L003 Disponible 079-09012 RAB Revue Centre de documentation En réserve L003 Disponible
contenu dans ISPRS Workshop Laserscanning'09, Paris, France, September 1-2, 2009 / Frédéric Bretar (2009)
Titre : A stochastic approach for modelling airborne lidar waveforms Type de document : Article/Communication Auteurs : Clément Mallet , Auteur ; Florent Lafarge, Auteur ; Michel Roux, Auteur ; Uwe Soergel, Auteur ; et al., Auteur Editeur : International Society for Photogrammetry and Remote Sensing ISPRS Année de publication : 2009 Collection : International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, ISSN 1682-1750 num. 38-3/W8 Conférence : ISPRS 2009, Workshop LaserScanning 01/09/2009 02/09/2009 Paris France OA Archives proceedings Importance : pp 201 - 206 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement du signal
[Termes IGN] chaîne de Markov
[Termes IGN] données lidar
[Termes IGN] forme d'onde pleine
[Termes IGN] méthode de Monte-Carlo
[Termes IGN] milieu urbain
[Termes IGN] modèle stochastique
[Termes IGN] reconstruction du signal
[Termes IGN] signal laser
[Termes IGN] signal lidarRésumé : (Auteur) In contrast to conventional airborne multi-echo laser scanner systems, full-waveform (FW) lidar systems are able to record the entire emitted and backscattered signals of each laser pulse. Instead of clouds of individual 3D points, FW devices provide ID profiles of the 3D scene, which allows gaining additional and more detailed observations of the illuminated surfaces. Indeed, lidar waveforms are signals consisting of a train of echoes where each of them corresponds to a scattering target of the Earth surface or a group of close objects leading to superimposed signals. Modelling these echoes with the appropriate parametric function is necessary to retrieve physical information about these objects and characterize their properties. Henceforth, the extracted parameters can be useful for subsequent object segmentation and/or classification. This paper presents a stochastic based model to reconstruct lidar waveforms in terms of a set of parametric functions. The model takes into account both a data term which measures the coherence between the proposed configurations and the waveforms, and a regularizing term which introduces physical knowledge on the reconstructed signal. We search for the best configuration of functions by performing a Reversible Jump Markov Chain Monte Carlo sampler coupled with a stochastic relaxation. Finally, the algorithm is validated on waveforms from several airborne lidar sensors, showing the suitability of the approach even when the traditional assumption of Gaussian decomposition of waveforms is invalid. Numéro de notice : C2009-004 Affiliation des auteurs : MATIS+Ext (1993-2011) Thématique : IMAGERIE/POSITIONNEMENT Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : sans En ligne : https://www.isprs.org/proceedings/XXXVIII/3-W8/papers/201_laserscanning09.pdf Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=65044 Assessing geometric reliability of corrected images from very high resolution satellites / M. Aguilar in Photogrammetric Engineering & Remote Sensing, PERS, vol 74 n° 12 (December 2008)
[article]
Titre : Assessing geometric reliability of corrected images from very high resolution satellites Type de document : Article/Communication Auteurs : M. Aguilar, Auteur ; F. Aguilar, Auteur ; F. Aguera, Auteur Année de publication : 2008 Article en page(s) : pp 1551 - 1560 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] fiabilité des données
[Termes IGN] image à résolution métrique
[Termes IGN] image à résolution submétrique
[Termes IGN] image Ikonos
[Termes IGN] image panchromatique
[Termes IGN] image Quickbird
[Termes IGN] méthode de Monte-Carlo
[Termes IGN] orthoimage
[Termes IGN] point d'appui
[Termes IGN] point de vérification
[Termes IGN] qualité géométrique (image)
[Termes IGN] valeur aberranteRésumé : (Auteur) Since the launch of Ikonos by Space Imaging, LLC on 24 September 1999, the very high resolution (VHR) satellite imagery has been applied to diverse fields. Every application needs a certain geometric accuracy in the corrected image; therefore, the planimetric accuracy control of VHR satellite imagery proves to be fundamental. As a rule of thumb, the Root Mean Square error (RMS) computed at independent check points (ICPs) is the global measure most widely used for accuracy assessment in VHR imagery. This paper presents an assessment, focused on two QuickBird and Ikonos panchromatic single images, of the number of ICPs required to obtain an estimation of one-dimensional accuracy (RMS1d) with a certain confidence level or reliability. Thus, two theoretical approaches have been tested to estimate reliability depending on the number of ICPs, and they have been experimentally validated using the Monte Carlo simulation method. The residual’s samples were generated for both satellite images in the best possible operational conditions: (a) using optimal sensor models, (b) with high accuracy ground points measured by Differential Global Positioning System, (c) with an adequate number of well distributed ground control points (GCPs), and (d) using GCPs and ICPs well-defined on the raw images, i.e., with a reasonably low pointing error. Under these conditions, the two theoretical models tested provided a good fit (r2 >97 percent) for the simulated data offered by Monte Carlo when outliers were withdrawn. There were no notable differences between the results obtained from the Ikonos and QuickBird scenes. Copyright ASPRS Numéro de notice : A2008-478 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.74.12.1551 En ligne : https://doi.org/10.14358/PERS.74.12.1551 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29547
in Photogrammetric Engineering & Remote Sensing, PERS > vol 74 n° 12 (December 2008) . - pp 1551 - 1560[article]Accuracy assessment of Lidar-derived digital elevation models / F. Aguilar in Photogrammetric record, vol 23 n° 122 (June - August 2008)
[article]
Titre : Accuracy assessment of Lidar-derived digital elevation models Type de document : Article/Communication Auteurs : F. Aguilar, Auteur ; Jon P. Mills, Auteur Année de publication : 2008 Article en page(s) : pp 148 - 169 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] analyse comparative
[Termes IGN] données lidar
[Termes IGN] erreur de mesure
[Termes IGN] lasergrammétrie
[Termes IGN] méthode de Monte-Carlo
[Termes IGN] modèle numérique de surface
[Termes IGN] positionnement cinématique
[Termes IGN] positionnement par GPS
[Termes IGN] précision des mesuresRésumé : (Auteur) Despite the relatively high cost of airborne lidar-derived digital elevation models (DEMs), such products are usually presented without a satisfactory associated estimate of accuracy. For the most part, DEM accuracy estimates are typically provided by comparing lidar heights against a finite sample of check point coordinates from an independent source of higher accuracy, supposing a normal distribution of the derived height differences or errors. This paper proposes a new methodology to assess the vertical accuracy of lidar DEMs using confidence intervals constructed from a finite sample of errors computed at check points. A non-parametric approach has been tested where no particular error distribution is assumed, making the proposed methodology especially applicable to non-normal error distributions of the type usually found in DEMs derived from lidar. The performance of the proposed model was experimentally validated using Monte Carlo simulation on 18 vertical error data-sets. Fifteen of these data-sets were computed from original lidar data provided by the International Society for Photogrammetry and Remote Sensing Working Group III/3, using their respective filtered reference data as ground truth. The three remaining data-sets were provided by the Natural Environment Research Council's Airborne Research and Survey Facility lidar system, together with check points acquired using high precision kinematic GPS. The results proved promising, the proposed models reproducing the statistical behaviour of vertical errors of lidar using a favourable number of check points, even in the cases of data-sets with non-normally distributed residuals. This research can therefore be considered as a potentially important step towards improving the quality control of lidar-derived DEMs. Copyright RS&PS + Blackwell Publishing Numéro de notice : A2008-295 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1111/j.1477-9730.2008.00476.x En ligne : https://doi.org/10.1111/j.1477-9730.2008.00476.x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29288
in Photogrammetric record > vol 23 n° 122 (June - August 2008) . - pp 148 - 169[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 106-08021 RAB Revue Centre de documentation En réserve L003 Disponible PermalinkA new computationally efficient stochastic approach for building reconstruction from satellite data / Florent Lafarge (2008)PermalinkA theoretical approach to modeling the accuracy assessment of digital elevation models / F. Aguilar in Photogrammetric Engineering & Remote Sensing, PERS, vol 73 n° 12 (December 2007)PermalinkSpatio-temporal urban landscape change analysis using the Markov chain model and a modified genetic algorithm / J. Tang in International Journal of Remote Sensing IJRS, vol 28 n°15-16 (August 2007)PermalinkAccuracy assessment of digital elevation models using a non-parametric approach / F. Aguilar in International journal of geographical information science IJGIS, vol 21 n° 6-7 (july 2007)PermalinkInteractive visualization of uncertain spatial and spatio-temporal data under different scenarios: an air quality example / Edzer J. Pebesma in International journal of geographical information science IJGIS, vol 21 n° 5 (may 2007)PermalinkModelling landscape dynamics with Python / D. Karssenberg in International journal of geographical information science IJGIS, vol 21 n° 5 (may 2007)PermalinkEvaluating the uncertainty caused by Post Office Box addresses in environmental health studies: A restricted Monte Carlo approach / X. Shi in International journal of geographical information science IJGIS, vol 21 n° 3-4 (march - april 2007)PermalinkBuilding facade interpretation from uncalibrated wide-baseline image sequences / Helmut Mayer in ISPRS Journal of photogrammetry and remote sensing, vol 61 n° 6 (February 2007)PermalinkReflectance seasonality and its relation to the canopy leaf area index in an eastern Siberian larch forest: Multi-satellite data and radiative transfer analyses / H. Kobayashi in Remote sensing of environment, vol 106 n° 2 (30/01/2007)Permalink