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Extracting 3D free-form surface boundaries of man-made objects from multiple calibrated images : a robust, accurate and high resolving power edgel matching and chaining approach / Franck Jung (2003)
contenu dans Proceedings of the ISPRS conference IC II/IV, WG III/4, III/5, III/6 Photogrammetric image analysis, 17-19 September, 2003, Munich, Germany / Heinrich Ebner (2003)
Titre : Extracting 3D free-form surface boundaries of man-made objects from multiple calibrated images : a robust, accurate and high resolving power edgel matching and chaining approach Type de document : Article/Communication Auteurs : Franck Jung , Auteur ; Nicolas Paparoditis , Auteur Editeur : International Society for Photogrammetry and Remote Sensing ISPRS Année de publication : 2003 Collection : International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, ISSN 1682-1750 num. 38-3/W8 Conférence : PIA 2003, ISPRS Conference on Photogrammetric image analysis 17/09/2003 19/09/2003 Munich Allemagne OA ISPRS Archives Importance : 5 p. Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] appariement de lignes
[Termes IGN] cohérence des données
[Termes IGN] compensation par faisceaux
[Termes IGN] détail topographique artificiel
[Termes IGN] détection de contours
[Termes IGN] méthode robuste
[Termes IGN] modèle numérique de surface
[Termes IGN] objet cartographique
[Termes IGN] objet géographique zonal
[Termes IGN] pixel de contour
[Termes IGN] reconstruction 3D
[Termes IGN] reconstruction d'objet
[Termes IGN] zone urbaineRésumé : (Auteur) This paper describes a purely geometrical approach for matching and chaining edgels, i.e. contours points with their tangent direction, to reconstruct in a general way 3D rectilinear or curved surface boundaries from multiple calibrated images. Results show that the 3D reconstructed edgels are highly reliable and accurate, and correctly reproduce the 3D limits of very small image structures thus demonstrating the high resolving power of this technique and enabling a finer description and understanding of urban scenes. 3D Edgels are a key feature for reconstructing man-made objects. Practical examples of edgels reconstruction are given on various type ot 3D objects (roundabouts, zebra crossings, cars, classical and odd shape buildings, dormer Windows) in surveys at a ground pixel size of 25 cm. Practical examples of edgels integration within a surface reconstruction or 3D pattern recognition and object extraction processes are also provided. Indeed 3D edgels can be used as characteristic and constraining lines for the surface topography reconstruction and used to build the limits of cartographic objects thus ensuring a natural geometrical and topological coherence between Digital Surface Models and Digital Object Models. Numéro de notice : C2003-034 Affiliation des auteurs : MATIS (1993-2011) Thématique : IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : sans En ligne : http://www.isprs.org/proceedings/XXXIV/3-W8/papers/pia03_s1p4.pdf Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=64400 Documents numériques
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Extracting 3D free-form surface boundariesAdobe Acrobat PDF Hierarchical real-time recognition of compound objects in images / M. Ulrich (2003)
Titre : Hierarchical real-time recognition of compound objects in images Type de document : Thèse/HDR Auteurs : M. Ulrich, Auteur Editeur : Munich : Bayerische Akademie der Wissenschaften Année de publication : 2003 Collection : DGK - C Sous-collection : Dissertationen num. 568 Importance : 142 p. Format : 21 x 30 cm ISBN/ISSN/EAN : 978-3-7696-5007-5 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] approche hiérarchique
[Termes IGN] méthode robuste
[Termes IGN] objet géographique
[Termes IGN] reconnaissance de formes
[Termes IGN] temps réel
[Termes IGN] transformation de HoughIndex. décimale : 35.20 Traitement d'image Résumé : (Auteur) This dissertation proposes a novel approach for the recognition of compound 2D objects [objets composés en 2 dimensions] in images under real-time conditions. A compound object consists of a number of rigid object parts that show arbitrary relative movements. The underlying principle of the approach is based on minimizing the overall search effort, and hence the computation time. This is achieved by restricting the search according to the relative movements of the object parts. Minimizing the search effort leads to the use of a hierarchical model : only a selected root object part, which stands at the top of the hierarchy, is searched within the entire search space. In contrast, the remaining parts are searched recursively with respect to each other within very restricted search spaces. By using the hierarchical model, prior knowledge about the spatial relations, i.e., relative movements, between the object parts is exploited already in an early stage of the recognition. Thus, the computation time can be reduced considerably. Another important advantage of the hierarchical model is that it provides an inherent determination of correspondence, i.e.. because of the restricted search spaces, ambiguous matches are avoided. Consequently, a complicated and computationally expensive solution of the correspondence problem is not necessary. The approach shows additional remarkable features : it is general with regard to the type of object, it shows a very high robustness, and the compound object is localized with high accuracy. Furthermore, several instances of the object in the image can he found simultaneously.
One substantial concern of this dissertation is to achieve a high degree of automation. Therefore, a method that automatically trains and creates the hierarchical model is proposed. For this, several example images that show the relative movements of the object parts are analyzed. The analysis automatically determines the rigid object parts as well as the spatial relations between the parts. This is very comfortable for the user because a complicated manual description of the compound object is avoided. The obtained hierarchical model is used to recognize the compound object in real-time.
The proposed strategy for recognizing compound objects requires an appropriate approach for recognizing rigid objects. Therefore, the performance of the generalized Hough transform, which is a voting scheme to recognize rigid objects, is further improved by applying several novel modifications. The performance of the new approach is evaluated thoroughly by comparing it to several other rigid object recognition methods. The evaluation shows that the proposed modified generalized Hough transform fulfills even stringent industrial demands.
As a by-product, a novel method for rectifying images in real-time is developed. The rectification is based on the result of a preceding camera calibration. Thus, a very fast elimination of projective distortions and radial lens distortions from images becomes possible. This is exploited to extend the object recognition approach in order to be able to recognize objects in real-time even in projectively distorted images.Numéro de notice : 13193 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Thèse étrangère Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=54908 Réservation
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Code-barres Cote Support Localisation Section Disponibilité 13193-02 35.20 Livre Centre de documentation Télédétection Disponible 13193-01 35.20 Livre Centre de documentation Télédétection Disponible Schätzung von Vegetationsparametern aus multispektralen Fernerkundungsdaten / F. Kurz (2003)
Titre : Schätzung von Vegetationsparametern aus multispektralen Fernerkundungsdaten Titre original : [Estimation des paramètres de végétation à partir de données de télédétection multi bandes] Type de document : Thèse/HDR Auteurs : F. Kurz, Auteur Editeur : Munich : Bayerische Akademie der Wissenschaften Année de publication : 2003 Collection : DGK - C Sous-collection : Dissertationen num. 569 Importance : 101 p. Format : 21 x 30 cm ISBN/ISSN/EAN : 978-3-7696-5008-2 Note générale : Bibliographie Langues : Allemand (ger) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] agriculture de précision
[Termes IGN] blé (céréale)
[Termes IGN] chlorophylle
[Termes IGN] DEADALUS
[Termes IGN] données de terrain
[Termes IGN] hétérogénéité
[Termes IGN] image DEADALUS
[Termes IGN] Leaf Area Index
[Termes IGN] matière organique
[Termes IGN] méthode robuste
[Termes IGN] modèle de transfert radiatif
[Termes IGN] programmation linéaireRésumé : (Auteur) In this thesis, a method to estimate vegetation parameters from multispectral remote sensing data using physical radiative transfer models and a small amount of ground-truth data is proposed. During two years this method has been exemplarily validated for different winter wheat fields imaged by a Daedalus ATM multispectral scanner. The focus lies on the variations of vegetation parameters within single fields. These variations allow to derive information about soil heterogeneities, which are important parameters for precision farming applications. For the estimation of vegetation parameters, physical radiative transfer models are combined with a linear empirical model and inverted with numerical optimisation methods. Ground-truth measurements are employed to reduce errors by a linear empirical fitting of the applied physical models. Results of model inversions with synthetic and real datasets show, that four vegetation parameters, leaf area index, chlorophyll content, specific dry matter, and specific water content are estimable assuming the given configuration. The strength of this method lies on the comprehensive and robust modelling, which assures reliable estimation of several vegetation parameters with a minimum number of ground-truth measurements. The accuracies of the estimated parameters are comparable with the quality of the ground-truth measurements. Numéro de notice : 13200 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Thèse étrangère Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=54910 Réservation
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Code-barres Cote Support Localisation Section Disponibilité 13200-01 35.41 Livre Centre de documentation Télédétection Disponible 13200-02 35.41 Livre Centre de documentation Télédétection Disponible SAR interferometry and statistical topography / A.M. Guarnieri in IEEE Transactions on geoscience and remote sensing, vol 40 n° 12 (December 2002)
[article]
Titre : SAR interferometry and statistical topography Type de document : Article/Communication Auteurs : A.M. Guarnieri, Auteur Année de publication : 2002 Article en page(s) : pp 2567 - 2581 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] densité spectrale de puissance
[Termes IGN] image radar moirée
[Termes IGN] interféromètrie par radar à antenne synthétique
[Termes IGN] méthode robuste
[Termes IGN] modèle numérique de surface
[Termes IGN] objet fractalRésumé : (Auteur) The paper introduces a parametric model for the power spectrum density of synthetic aperture radar (SAR) interferograms. This model is derived by assuming the interferogram as a stationary frequency-modulated process and by exploiting the statistical description of earth topography provided by multifractal fields. Despite the small number of parameters involved (three to six in most cases), the model has been proven robust and accurate in most of the cases tested. In particular, the parametric probability distribution assumed for ground terrain slopes fitted the actual histogram (derived from existing digital elevation models) in a range of three to five decades. Applications to blind baseline estimation and phase unwrapping are then briefly discussed. Numéro de notice : A2002-348 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2002.807576 En ligne : https://doi.org/10.1109/TGRS.2002.807576 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22259
in IEEE Transactions on geoscience and remote sensing > vol 40 n° 12 (December 2002) . - pp 2567 - 2581[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-02121 RAB Revue Centre de documentation En réserve L003 Disponible A robust classification procedure based on mixture classifiers and nonparametric weighted feature extraction / B.C. Kuo in IEEE Transactions on geoscience and remote sensing, vol 40 n° 11 (November 2002)
[article]
Titre : A robust classification procedure based on mixture classifiers and nonparametric weighted feature extraction Type de document : Article/Communication Auteurs : B.C. Kuo, Auteur ; D.A. Landgrebe, Auteur Année de publication : 2002 Article en page(s) : pp 2486 - 2494 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique
[Termes IGN] classificateur non paramétrique
[Termes IGN] classification
[Termes IGN] extraction automatique
[Termes IGN] extraction de traits caractéristiques
[Termes IGN] image hyperspectrale
[Termes IGN] méthode robusteRésumé : (Auteur) There are many factors to consider in carrying out a hyperspectral data classification. Perhaps chief among them are class training sample size, dimensionality, and distribution separability. The intent of this study is to design a classification procedure that is robust and maximally effective, but which provides the analyst with significant assists, thus simplifying the analyst's task. The result is a quadratic mixture classifier based on Mixed-LOOC2 regulized discriminant analysis and nonparametric weighted feature extraction. This procedure has the advantage of providing improved classification accuracy compared to typical previous methods but requires minimal need to consider the factor mentioned above. Experimental results demonstrating these properties are presented. Numéro de notice : A2002-359 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2002.805088 En ligne : https://doi.org/10.1109/TGRS.2002.805088 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22270
in IEEE Transactions on geoscience and remote sensing > vol 40 n° 11 (November 2002) . - pp 2486 - 2494[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-02111 RAB Revue Centre de documentation En réserve L003 Disponible Automatic surface reconstruction based on the fusion of fuzzy logic and robust estimation techniques / F. Samadzadegan in Photogrammetric record, vol 17 n° 100 (October 2002 - March 2003)PermalinkDual grid: a new approach for robust spatial algebra implementation / J.A. Cotelo Lema in Geoinformatica, vol 6 n° 1 (March - May 2002)PermalinkA framework for automatic recognition of spatial features from mobile mapping imagery / Z. Tu in Photogrammetric Engineering & Remote Sensing, PERS, vol 68 n° 3 (March 2002)PermalinkPermalinkPermalinkAnalysing cadastral systems in uncertain situations: a conceptual framework based on soft systems theory / Michael Barry in International journal of geographical information science IJGIS, vol 16 n° 1 (january 2002)PermalinkPermalinkReconstruction of 3D linear primitives from multiple views for urban areas modelisation / Franck Taillandier (2002)PermalinkA robust texture analysis and classification approach for urban land-use and land-cover feature discrimination / S.W. Myint in Geocarto international, vol 16 n° 4 (December 2001 - February 2002)PermalinkRobustness in GIS algorithm implementation with application to line simplification / H. Ratschek in International journal of geographical information science IJGIS, vol 15 n° 8 (december 2001)Permalink