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Auteur Arnaud Le Bris
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Researcher in LaSTIG, STRUDEL team
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Extraction semi-automatique de thèmes d’occupation du sol en milieu montagneux à partir d’ortho-images et de connaissances complémentaires, en vue de la production de la carte de base / Arnaud Le Bris (2010)
Titre : Extraction semi-automatique de thèmes d’occupation du sol en milieu montagneux à partir d’ortho-images et de connaissances complémentaires, en vue de la production de la carte de base Type de document : Rapport Auteurs : Arnaud Le Bris , Auteur Editeur : Saint-Mandé : Institut Géographique National - IGN (2008-2011) Année de publication : 2010 Importance : 133 p. Note générale : bibliographie Langues : Français (fre) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] classification dirigée
[Termes IGN] classification du maximum a posteriori
[Termes IGN] extraction automatique
[Termes IGN] orthoimage
[Termes IGN] représentation du relief
[Termes IGN] rocherIndex. décimale : 35.20 Traitement d'image Résumé : (auteur) Les thèmes “rochers”, “éboulis” et “glacier” sont absents des bases de données numériques de l’IGN alors qu’ils sont nécessaires à la rédaction de la carte de base dans les zones de montagne. Il est donc nécessaire d’obtenir cette information à partir d’une autre source. La méthode mise en œuvre dans cette étude consiste à extraire ces thèmes à partir d’ortho-images par classification supervisée. Or, dans les zones de montagne, l’extraction de l’occupation des sols par classification semi-automatique d’ortho-images est gênée par différents facteurs (importance des ombres, thèmes différents de radiométrie semblable, variations de la radiométrie au sein d’une même classe...). Une amélioration est toutefois possible par l’apport d’informations complémentaires (ainsi que l’avait montré une étude précédente), telles que la connaissance des liens entre le relief et l’occupation du sol ou une autre base de données, plus ancienne ou plus généralisée. Ces connaissances sont interprétées en terme de probabilités a priori qui sont ensuite introduites dans un processus de classification de type MAP (Maximum A Posteriori). Par ailleurs, l’utilisation de canaux dérivés de l’image initiale peut également permettre d’améliorer les résutats de la classification. Une fois détectés, il s’agit de représenter sur la carte les trois thèmes qui nous intéressent. Dans le cas particulier des rochers et des éboulis, cette représentation doit laisser transparaître le relief sous-jacent. Ceci implique par exemple de représenter certaines lignes caractéristiques (lignes de pente, crêtes, ...) et d’avoir une représentation pouvant varier en fonction de la pente ou de l’orientation. Numéro de notice : 15385 Affiliation des auteurs : MATIS (1993-2011) Thématique : IMAGERIE/INFORMATIQUE Nature : Rapport d'étude technique nature-HAL : Rapport DOI : sans En ligne : https://hal.science/hal-02370247 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=103290 Matching terrestrial images captured by a nomad system to images of a reference database for pose estimation purpose / Arnaud Le Bris (2010)
contenu dans Photogrammetric computer vision and image analysis, ISPRS Commission 3 symposium, Saint-Mandé, 1-3 septembre 2010, volume 1. Papers accepted on the basis of peer-reviewed full manuscripts / Nicolas Paparoditis (2010)
Titre : Matching terrestrial images captured by a nomad system to images of a reference database for pose estimation purpose Type de document : Article/Communication Auteurs : Arnaud Le Bris , Auteur ; Nicolas Paparoditis , Auteur Editeur : International Society for Photogrammetry and Remote Sensing ISPRS Année de publication : 2010 Conférence : PCV 2010, ISPRS - Commission 3 symposium Photogrammetric computer vision and image analysis 01/09/2010 03/09/2010 Saint-Mandé France ISPRS OA Archives Importance : pp 133 - 137 Note générale : Bibliographie
Paper accepted on the basis of peer-reviewed full manuscriptLangues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s)
[Termes IGN] géoréférencement direct
[Termes IGN] image panoramique
[Termes IGN] intégration de données
[Termes IGN] points homologues
[Termes IGN] SIFT (algorithme)
[Termes IGN] Stéréopolis
[Termes IGN] système de numérisation mobileRésumé : (Auteur) Mobile mapping systems have been developed to achieve a fast automated acquisition of huge quantity of georeferenced terrestrial images in urban cities. Stereopolis is such a system making it possible to capture panoramic groups of images. These georeferenced photos are then stored in urban images street scale reference databases. The issue investigated in this paper is the problem of tie points extraction between new images captured with an approximate georeferencement by a ”nomad system” and images from the reference database in order to estimate a precise pose for these new images. Because of several difficulties (diachronism, viewpoint change, scale variation, repetitive patterns) extracting enough correct well distributed tie points is difficult and directly extracted and matched SIFT keypoints from original images are most of the time not sufficient. Nevertheless, results can be improved using ortho-rectified images on the facade plane instead of original images. Rectification parameters (3D rotation) are obtained from the coordinates of vanishing points corresponding to the two main directions of the facade. These points can indeed be extracted from linear features of the facade on the images. However, many point matches remain false and difficult to detect using only their image coordinates. The use of both image coordinates and scale and orientation associated to the matched SIFT keypoints makes it possible to detect outliers and to obtain an approximate similitude model between the two ortho-images. A more accurate model can then be computed from correct tie points. Numéro de notice : C2010-003 Affiliation des auteurs : MATIS (1993-2011) Thématique : IMAGERIE Nature : Communication DOI : sans En ligne : https://www.isprs.org/proceedings/XXXVIII/part3/a/pdf/133_XXXVIII-part3A.pdf Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=65058
Titre : Classification of roof materials for rainwater pollution modelization Type de document : Article/Communication Auteurs : Arnaud Le Bris , Auteur ; Pauline Robert-Sainte, Auteur Editeur : International Society for Photogrammetry and Remote Sensing ISPRS Année de publication : 2009 Conférence : ISPRS 2009, High-Resolution Earth Imaging for Geospatial Information workshop 02/06/2009 05/06/2009 Hanovre Allemagne OA ISPRS Archives Importance : 6 p. Format : 21 x 30 cm Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] BD Topo
[Termes IGN] classification dirigée
[Termes IGN] eau pluviale
[Termes IGN] image RVB
[Termes IGN] matériau
[Termes IGN] milieu urbain
[Termes IGN] ombre
[Termes IGN] orthoimage couleur
[Termes IGN] pollution des eaux
[Termes IGN] segmentation d'image
[Termes IGN] toitRésumé : (Auteur) It has been proven that roof runoff water plays an important role in the high metallic concentration levels in urban rainwater since metallic elements are generated by corrosion of roof materials before being swept away by rainwater. The aim of TOITEAU project is therefore to model this phenomenon, evaluating the metallic flows from roofs in rainwater. To achieve this goal, an important work has already been done to model those flows at roof scale. But, it has now to be extrapolated to a whole drainage area, requiring knowledge about the areas concerned by the different kinds of roof coverage, that is to say that a map of roof materials is needed. Such information can be extracted from aerial (ortho) images owing to (supervised) classification techniques. In the present situation, only six classes corresponding to the following kinds of roofs were defined : zinc plates, slates, red tiles, brown tiles and flat roofs. Nevertheless, classification results are limited because of several factors that have therefore to be dealt with. First of all, some distinct classes have very similar radiometric distribution (such as for instance zinc and at light slates), making it hard to distinguish between them. That's why derived channels computed from initial red-green-blue channels of the ortho-image have been used to improve the classification results. Texture channels have also been tested especially to discriminate zinc from other light coloured roof materials. For the same reason and in order not to obtain a too ”noisy” result, per region classification algorithms have been used : homogeneous regions will be classified instead of pixels. Secondly, roofs are the only interesting parts of the ortho-image in this study. As a consequence, a building mask is first computed from digital topographic database BDTopo in order to classify only roofs. However, several elements concerning data precision have to be taken into account at this step. For instance, the ortho-image and the topographic database can obviously not have been captured at the same date and, as a consequence, buildings can have been destroyed, modified or built between these two distinct capture times. In addition, as the used ortho-image is not a ”true ortho-image”, building objects from digital topographic database and ortho-image roofs are not perfectly superposed. However, these topographic database building objects can be registered to the ortho-image. Nevertheless, it must be said that these database objects often remain caricatures of true buildings. Besides, most of the time, homogeneous regions to be classified do not directly correspond to database buildings since those database objects can be groups of buildings or buildings of which the roof is composed of different materials. Therefore, it is necessary to segment building areas (according to the topographic database) of the ortho-image into homogeneous regions that are then classified. Lastly, shadows can be quite important in roof areas because of the presence of roof superstructures or higher buildings in the neighbourhood. That's why an additional class ”shadow” is also defined in order to take into account shadow areas where radiometric information is not sufficient to discriminate between the different kinds of materials. Tests have been carried out on two distinct study areas with 50cm resolution orthophotos for the first one and 12cm resolution orthoimages for the second one. The first study area was a dense urban centre, whereas the second could be divided into several parts : a residential suburb consisting of houses, a dense urban centre with buildings having up to 4-5 levels and a mixed residential / service area consisting of higher buildings. Numéro de notice : C2009-038 Affiliation des auteurs : MATIS+Ext (1993-2011) Thématique : IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : sans En ligne : https://www.isprs.org/proceedings/XXXVIII/1_4_7-W5/paper/LE_BRIS-152.pdf Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=64298 Documents numériques
en open access
Classification of roof materials ... - pdf éditeurAdobe Acrobat PDF Extraction of land cover themes from aerial ortho-images in mountainous areas using external information / Arnaud Le Bris in Photogrammetric record, vol 23 n° 124 (December 2008 - February 2009)
[article]
Titre : Extraction of land cover themes from aerial ortho-images in mountainous areas using external information Type de document : Article/Communication Auteurs : Arnaud Le Bris , Auteur ; Didier Boldo , Auteur Année de publication : 2008 Conférence : ISPRS 2007, High-Resolution Earth Imaging for Geospatial Information workshop 29/05/2007 01/06/2007 Hanovre Allemagne OA ISPRS Archives Article en page(s) : pp 387 - 404 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] extraction automatique
[Termes IGN] image aérienne
[Termes IGN] montagne
[Termes IGN] occupation du sol
[Termes IGN] ombre
[Termes IGN] orthoimage
[Termes IGN] valeur radiométriqueRésumé : (Auteur) In mountainous areas, land cover extraction from ortho-images through semi-automatic classification techniques is limited by several factors including large shadow areas, radiometric similarities between distinct themes and inhomogeneous radiometry among regions of the same class. The information in the image is thus not sufficient to separate the different classes. Nevertheless, good results can be obtained by dividing each land cover class into two subclasses, "shadow" and "non-shadow", and introducing external information into the classification process. This information can be derived from an older or more generalised database, geographical knowledge concerning the links between relief and land cover, or prior information concerning shadows. This external knowledge is then interpreted in terms of prior probabilities and merged with radiometric information from the image in a "maximum a posteriori (MAP) per region" classification process. Moreover, the results can also be improved by the use of combinations of derived channels calculated from the initial spectral bands of the image. Copyright RS&PS + Blackwell Publishing Numéro de notice : A2008-419 Affiliation des auteurs : MATIS (1993-2011) Thématique : IMAGERIE Nature : Article DOI : 10.1111/j.1477-9730.2008.00502.x Date de publication en ligne : 24/11/2008 En ligne : https://doi.org/10.1111/j.1477-9730.2008.00502.x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29490
in Photogrammetric record > vol 23 n° 124 (December 2008 - February 2009) . - pp 387 - 404[article]
Titre : A new approach for mountain areas cartography Type de document : Article/Communication Auteurs : Loïc Gondol , Auteur ; Arnaud Le Bris , Auteur ; François Lecordix , Auteur Editeur : Berlin, Heidelberg, Vienne, New York, ... : Springer Année de publication : 01/12/2008 Conférence : SDH 2008, 13th international symposium on Spatial Data Handling, Headway in spatial data handling 23/06/2008 25/06/2008 Montpellier France Proceedings Springer Importance : pp 315 - 333 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Cartographie numérique
[Termes IGN] BD Topo
[Termes IGN] classification automatique
[Termes IGN] données vectorielles
[Termes IGN] montagne
[Termes IGN] représentation du relief
[Termes IGN] rocherRésumé : (Auteur) From now on, the French National Mapping Agency (IGN France) is set up with the BD TOPO®. This is a topographic vector database that covers the whole national territory. IGN has decided to product base maps at 1:25k and 1:50k from this database. On topographic mountain maps, rocks areas are among the most difficult map elements to represent, dealing with digital cartography. In the past, they were drawn manually by experienced cartographers, using graphic means and working with aerial photographs. Nowadays, we need to focus on two points with a digital approach. The first one is the detection and an automated classification of concerned areas. The next one is the development of an adapted cartographic representation of rocks and screes areas. This article presents the first results on these problems. As far as possible, we aim at having automated high mountain cartography with lower production costs. Also, we would like it to be as expressive as it was in previous maps. This is to keep the same cartographic quality of the current base map at 1:25k and 1:50k. Numéro de notice : C2008-002 Affiliation des auteurs : MATIS (1993-2011) Thématique : GEOMATIQUE Nature : Communication DOI : 10.1007/978-3-540-68566-1_18 En ligne : https://doi.org/10.1007/978-3-540-68566-1_18 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=65037 Documents numériques
en open access
c2008-002_sdh_gondol.pdfAdobe Acrobat PDF Cartography of high mountain areas : testing of a new digital cliff drawing method / Loïc Gondol (01/02/2008)PermalinkSIFT (Scale Invariant Feature Transform) : Un outil pour la mise en correspondance d’images / Arnaud Le Bris (2008)PermalinkCartographie des zones de haute montagne : essais de cartographie numérique des rochers / Loïc Gondol in Le monde des cartes, n° 193 (septembre - novembre 2007)PermalinkExtraction of landcover themes out of aerial orthoimages in mountainous areas using external information / Arnaud Le Bris (2007)PermalinkEvaluation of the potential of Pleiades system for 3D city models production: building, vegetation and extraction / Mélanie Durupt in Revue Française de Photogrammétrie et de Télédétection, n° 184 (Décembre 2006)PermalinkMise en place d'un SIG "risques naturels et technologiques" à la DDE des Cotes-d'Armor / Arnaud Le Bris (2004)Permalink