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Titre : Land cover classification system : classification concepts and user manual for software version 1.0 Type de document : Guide/Manuel Auteurs : Antonio Di Gregorio, Auteur ; Louisa J.M. Jansen, Auteur ; Food and agriculture organization of the United Nations, Auteur Editeur : Rome [Italie] : Food and Agriculture Organization / Organisation des Nations Unies pour l'Alimentation et l'Agriculture FAO Année de publication : 2000 Importance : 179 p. Format : 21 x 30 cm + cederom ISBN/ISSN/EAN : 978-92-5-104216-8 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] approche hiérarchique
[Termes IGN] classification
[Termes IGN] cohérence des données
[Termes IGN] environnement
[Termes IGN] mode d'occupation du sol
[Termes IGN] occupation du sol
[Termes IGN] utilisation du solIndex. décimale : 35.20 Traitement d'image Numéro de notice : 18389 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Manuel DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=55385 Oberflächenrekonstruktion mit Hilfe einer Mehrbild-Shape-from-Shading-Methode / C. Piechullek (2000)
Titre : Oberflächenrekonstruktion mit Hilfe einer Mehrbild-Shape-from-Shading-Methode Titre original : [Reconstruction de surfaces au moyen de la méthode multi-image Shape-From-Shading] Type de document : Thèse/HDR Auteurs : C. Piechullek, Auteur Editeur : Munich : Bayerische Akademie der Wissenschaften Année de publication : 2000 Collection : DGK - C Sous-collection : Dissertationen num. 518 Importance : 98 p. Format : 21 x 30 cm ISBN/ISSN/EAN : 978-3-7696-9557-1 Note générale : Bibliographie Langues : Allemand (ger) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] filtre passe-bas
[Termes IGN] modèle numérique de sursol
[Termes IGN] orthoimage
[Termes IGN] reconstruction 2D du bâti
[Termes IGN] réflectanceIndex. décimale : 35.20 Traitement d'image Résumé : (Auteur) Shape from Shading is a method for surface reconstruction from digital images which exploits the fact that surface patches, having different orientations relative to a light source, are imaged with different brightness in the images. The resulting two-dimensional brightness distribution is denoted as shading and is used for the subsequent reconstruction of the surface inclinations by suitable solution methods.
In this thesis a novel multi image Shape from Shading method for the reconstruction of surfaces from multiple digital images is presented and investigated. Starting from a model for the formation of a digital image, the image grey values are related to the geometric and radiometric parameters of a surface model defined in object space. The direct computation of absolute surface heights of a digital terrain model (DTM) is accomplished by moving the object reconstruction process into object space, together with the incorporation of the perspective imaging geometry. The surface model ensures the correspondence between multiple images with low texture. The unknown DTM heights and the surface reflectance coefficient are estimated in a least squares adjustment.
In comparison to existing Shape from Shading methods, the simultaneous evaluation of multiple images on the basis of a surface model has the advantage of circumventing the inherent indeterminability of the surface inclinations. The mesh heights of a DTM are reconstructed, rather than both inclination components of all surface elements. All surface elements which lie within adjacent DTM meshes contribute to the determination of a particular DTM height. The assumption of completely diffuse reflectance of the surface is generalised by incorporating a surface reflectance model which also takes into account the observation directions of each image.
The potential of the method for the reconstruction of surfaces is investigated by theoretical considerations and accompanying simulation studies. This is accomplished by varying the spatial arrangement between surface normal, illumination direction and the observation directions, as well as by varying the number of available images, and the surface reflectance properties. It is shown that the surface reconstruction is possible, if the grey value variations within the images are greater than errors which occur during the acquisition and processing of digital imagery. Thus, planar surfaces, having no or comparatively small grey value variations cannot be reconstructed by the presented method. The indeterminability which occurs when evaluating single images with a lack of grey value gradients due to vertial observation direction or parallel illumination direction and surface normal, respectively, is overcome by the use of at least two images with different exterior orientation.
In practical simulation studies using synthetic images which have been created under the imaging and illumination conditions of the real test example, the convergence behaviour of the method is investigated. The radius of convergence is found to be comparably high (about 20 pixels in image space), but is seriously reduced by image noise. The convergence behaviour can be improved considerably. however, by low-pass filtering the images. In investigations with radiometrically distorted synthetic images it is shown that systematic errors within the reconstructed surface shape may be reduced by the simultaneous evaluation of multiple images, since there is additional, independent grey value information available.
In practical tests of the method, a set of three digitised aerial images (Mb ~ 1 : 11000) of a low-textured sand dune area are evaluated. By referring to the results of the simulation studies, the images are radiometrically corrected prior to the surface reconstruction. The radius of convergence is found to be about 16 pixels for the real imagery; thus, the independence of the obtained results from the available initial information can be assured to a large extent. The results obtained from the simultaneous evaluation of the radiometrically preprocessed images clearly demonstrate the applicability of the method to real imagery. Remaining systematic differences between the reconstruction results and the reference surface, however, indicate that grey values which have been obtained by the digitalisation of analogue images are not fully described by the underlying model for the formation of a digital image. A concluding assessment of the correctness of all assumptions concerning the reflectance properties of the imaged surface is only possible by the evaluation of images which have been acquired digitally by a radiometrically calibrated sensor.Numéro de notice : 62964 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Thèse étrangère Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=61153 Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 62964-01 35.20 Livre Centre de documentation Télédétection Disponible
Titre : Computer processing of remotely sensed images : an introduction Type de document : Monographie Auteurs : Paul M. Mather, Auteur Mention d'édition : second edition Editeur : New York, Londres, Hoboken (New Jersey), ... : John Wiley & Sons Année de publication : 1999 Importance : 292 p. Format : 19 x 24 cm + cédérom ISBN/ISSN/EAN : 978-0-471-98550-1 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] classification
[Termes IGN] correction géométrique
[Termes IGN] réflectance
[Termes IGN] traitement d'image
[Termes IGN] transformation de FourierIndex. décimale : 35.20 Traitement d'image Numéro de notice : 68587 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Monographie Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=61993
Titre : Segmentierung und Interpretation digitaler Bilder mit Markoff-Zufallsfeldern Titre original : [Segmentation and interpretation of digital images using Markov random fields] Type de document : Thèse/HDR Auteurs : J. Klonowski, Auteur Editeur : Munich : Bayerische Akademie der Wissenschaften Année de publication : 1999 Collection : DGK - C Sous-collection : Dissertationen num. 492 Importance : 91 p. Format : 21 x 30 cm ISBN/ISSN/EAN : 978-3-7696-9532-8 Note générale : Bibliographie Langues : Allemand (ger) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse de groupement
[Termes IGN] analyse texturale
[Termes IGN] champ aléatoire de Markov
[Termes IGN] distribution de Gibbs
[Termes IGN] image multibande
[Termes IGN] milieu urbain
[Termes IGN] segmentation d'image
[Termes IGN] théorème de Bayes
[Termes IGN] varianceIndex. décimale : 35.20 Traitement d'image Résumé : (Auteur)This thesis defines and solves the problem of the interpretation of digital images by labeling processes on two levels based on Markov random fields. Under the assumption that the objects to be identified in the image differ by their textures, pixels are labeled at the low level according to their affiliation to classes of textures. Clusters of pixels with identical labels are forming regions. They are labeled at the high level of the image analysis to obtain the meaning of the objects. Uncertainties are considered by variances for the description of textures and objects as well as by the probabilistic approach for the labeling.
The textures at the low level are represented by the Gibbs distribution of the Markov random field for the gray values. Prior information on the labels concerning the textures is introduced by the Gibbs distribution of the Markov random field of the labels. Application of Bayes' theorem joins the two densities to the posterior distri-bution. Its maximization at every pixel yields the labels for the textures. Also on the basis of Markov random fields a description for the existing and the expected objects is obtained at the high level of image analysis. Prior information on the unknown object labels consists of the frequency of the occurence of objects and their neighborhood relations. Maximization of the posterior density leads to the labels. Uncertain interpretations of regions are found by posterior odds for hypotheses. The label "unknown" is attributed to them.
The quality of the interpretation is mainly influenced by the segmentation at the low level. Therefore an in-teraction between the two levels on the basis of posterior odds has been realized. The percentage of area of the regions labeled "unknown" is used as an indicator for improving the segmentation, which leads to a better result for the interpretation.
The texture classification is first investigated by generated data for a/ better judgement of the influences of the choice of the parameters for the distributions. The experience gained is used in the segmentation of real multispectral aerial photographs. Tests of a color transformation and an image pyramid of the image data with respect to the quality of the symbolic description of the image are following. Finally the interaction between the two interpretation levels is tested on aerial multispectral photographs of urban areas.Numéro de notice : 28003 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Thèse étrangère Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=63350 Exemplaires(2)
Code-barres Cote Support Localisation Section Disponibilité 28003-01 35.20 Livre Centre de documentation Télédétection Disponible 28003-02 35.20 Livre Centre de documentation Télédétection Disponible
Titre : Traitement des données de télédétection Type de document : Guide/Manuel Auteurs : Michel-Claude Girard, Auteur ; C.M. Girard, Auteur Mention d'édition : 1 Editeur : Paris : Dunod Année de publication : 1999 Importance : 529 p. Format : 17 x 25 cm + cédérom ISBN/ISSN/EAN : 978-2-10-004185-5 Note générale : Bibliographie Langues : Français (fre) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] capteur (télédétection)
[Termes IGN] classification
[Termes IGN] hyperfréquence
[Termes IGN] photo-interprétation
[Termes IGN] photogrammétrie
[Termes IGN] photographie aérienne
[Termes IGN] physique
[Termes IGN] qualité des données
[Termes IGN] traitement d'image
[Termes IGN] vecteur (télédétection)
[Termes IGN] zone humideIndex. décimale : 35.20 Traitement d'image Numéro de notice : 68080 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Manuel de cours Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=61848 Exemplaires(2)
Code-barres Cote Support Localisation Section Disponibilité 68080-02 DEP-EK Livre Marne-la-Vallée Dépôt en unité Exclu du prêt IFN-DIR-000123 411.01 GIR Livre Nogent-sur-Vernisson Sous-sol Exclu du prêt PermalinkPermalinkPermalinkPermalinkPermalinkAfricover / Organisation des Nations Unies pour l'alimentation et l'agriculture (Rome, Italie) (1997)
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