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Automatic 3D building reconstruction from DEMs: an application to Pleiades simulations / Florent Lafarge in Revue Française de Photogrammétrie et de Télédétection, n° 184 (Décembre 2006)
[article]
contenu dans ISPRS Commission 1 Symposium 2006, Paris, Marne-la-Vallée, 3-6 Juillet 2006: Des capteurs à l'imagerie, vol 1. Proceedings / Alain Baudoin (2006)
Titre : Automatic 3D building reconstruction from DEMs: an application to Pleiades simulations Type de document : Article/Communication Auteurs : Florent Lafarge, Auteur ; Xavier Descombes, Auteur ; Josiane Zerubia, Auteur ; Marc Pierrot-Deseilligny , Auteur Année de publication : 2006 Conférence : ISPRS 2006, Commission 1 Symposium, From sensors to imagery 03/07/2006 06/07/2006 Champs-sur-Marne [Paris Marne-la-Vallée] France OA ISPRS Archives Article en page(s) : pp 48 - 53 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique
[Termes IGN] détection du bâti
[Termes IGN] image à résolution submétrique
[Termes IGN] image Pléiades-HR
[Termes IGN] modèle 3D de l'espace urbain
[Termes IGN] modèle numérique de surface
[Termes IGN] précision décimétrique
[Termes IGN] processus ponctuel marqué
[Termes IGN] reconstruction 3D du bâti
[Termes IGN] simulation d'image
[Termes IGN] squelettisationRésumé : (Auteur) This paper is about an example of PLEIADES applications, the 3D building reconstruction. The future PLEIADES satellites are especially well adapted to deal with 3D building reconstruction through the sub-metric resolution of images and its stereoscopic characteristics. We propose a fully automatic 3D-city model of dense urban areas using a parametric approach. First, a Digital Elevation Model (DEM) is generated using an algorithm based on a maximum-flow formulation using three views. Then, building footprints are extracted from the DEM through an automatic method based on marked point processes : they are represented by an association of rectangles that we regularize by improving the connection of the neighboring rectangles and the facade discontinuity detection. Finally, a 3D-reconstruction method based on a skeleton process which allows to model the rooftops is proposed from the DEM and the building footprints. The different building heights constitute parameters which are estimated and then regularized by the "K-means" algorithm including an entropy term. Copyright SFPT Numéro de notice : A2006-636 Affiliation des auteurs : MATIS+Ext (1993-2011) Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueNat DOI : sans En ligne : https://www.isprs.org/proceedings/XXXVI/part1/Papers/T07-32.pdf Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28359
in Revue Française de Photogrammétrie et de Télédétection > n° 184 (Décembre 2006) . - pp 48 - 53[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 018-06041 RAB Revue Centre de documentation En réserve L003 Disponible Documents numériques
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Automatic 3D building ... - pdf editeur ISPRSAdobe Acrobat PDF Delineating lakes and enclosed islands in satellite imagery by geodesic active contour model / C. Shen in International Journal of Remote Sensing IJRS, vol 27 n°23-24 (December 2006)
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Titre : Delineating lakes and enclosed islands in satellite imagery by geodesic active contour model Type de document : Article/Communication Auteurs : C. Shen, Auteur ; J. Fan, Auteur ; F. Li, Auteur Année de publication : 2006 Article en page(s) : pp 5253 - 5268 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] calcul différentiel
[Termes IGN] Chine
[Termes IGN] classification non dirigée
[Termes IGN] couleur (variable spectrale)
[Termes IGN] détection de contours
[Termes IGN] image en couleur
[Termes IGN] image en couleur composée
[Termes IGN] image Landsat-ETM+
[Termes IGN] lac
[Termes IGN] MNS SRTM
[Termes IGN] modèle numérique de surfaceRésumé : (Auteur) The objective of the present paper is to develop a new method for delineating lakes and enclosed islands from shuttle radar topography mission (SRTM) digital elevation model (DEM). The Thousand-Island Lake in China is chosen as the study site. DEM may have missing values or be inaccurate over water bodies. Thus, it is not trivial to delineate the shorelines of lake directly from DEM. We achieve this objective by overlaying the boundary derived from the Landsat image of the same area. Unlike traditional water body delineation techniques, e.g. the band ratio method, which make use of physical quantities, we only use the colour information from Landsat ETM+ band 7, 4 and 2. The main reason is that the colour information is the only resource available for most publicly available satellite data such as the maps from Google Earth. Thus, it is necessary to develop a method depending on only colour information. In the Landsat image, a discrimination function to determine whether a pixel belongs to the lake area is obtained by studying sample pixels chosen from the lake area. The delineation of shorelines is an evolutionary process. The evolution equation is derived according to the active contour model and the discrimination function. The initial contour is inside the lake and expands according to the evolution equation. The evolving curve converges to the boundaries of the lake efficiently with a satisfactory result. Finally, the shorelines are overlaid on the DEM according to latitude and longitude. Our geodesic active contour method is a general one, and could be used to delineate objects of interest such as oil slicks and burn scars in satellite images. Copyright Taylor & Francis Numéro de notice : A2006-581 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160600857444 En ligne : https://doi.org/10.1080/01431160600857444 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28304
in International Journal of Remote Sensing IJRS > vol 27 n°23-24 (December 2006) . - pp 5253 - 5268[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 080-06121 RAB Revue Centre de documentation En réserve L003 Disponible Ground target tracking and road map extraction / W Koch in ISPRS Journal of photogrammetry and remote sensing, vol 61 n° 3-4 (December 2006)
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Titre : Ground target tracking and road map extraction Type de document : Article/Communication Auteurs : W Koch, Auteur ; J. Koller, Auteur ; M. Ulmke, Auteur Année de publication : 2006 Article en page(s) : pp 197 - 208 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] classification bayesienne
[Termes IGN] extraction du réseau routier
[Termes IGN] image aérienne
[Termes IGN] image radar
[Termes IGN] précision des données
[Termes IGN] trafic routierRésumé : (Auteur) For analyzing dynamic scenarios with many ground moving vehicles, airborne Ground Moving Target Indicator (GMTI) radar is well-suited due to its wide-area, all-weather, day/night, and real time capabilities. The generation of GMTI tracks from these data is the backbone for ground surveillance and traffic flow analysis. In case of dense target situations, missing detections and false alarms, Multi-Hypotheses Tracking (MHT) is the method at choice to solve the inherent ambiguities in the data-targets assignment problem. The resulting MHT-tracks are suited to extract road map information which is highly up-to-date and fairly precise. Moreover, their accuracy is quantitatively described. The precision of the extracted road segments can be improved significantly using smoothed or retrodicted tracks. In turn, the extracted road information is exploited for the precise tracking of succeeding road targets. The proposed, fully Bayesian approach is illustrated by a simulated example including Doppler and terrain obscuration, providing hints to the achievable road map accuracies. Numéro de notice : A2006-604 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2006.09.013 En ligne : https://doi.org/10.1016/j.isprsjprs.2006.09.013 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28327
in ISPRS Journal of photogrammetry and remote sensing > vol 61 n° 3-4 (December 2006) . - pp 197 - 208[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 081-06091 RAB Atlas / Beau livre Centre de documentation En réserve L003 Exclu du prêt A semi-automatic framework for highway extraction and vehicle detection based on a geometric deformable model / X. Niu in ISPRS Journal of photogrammetry and remote sensing, vol 61 n° 3-4 (December 2006)
[article]
Titre : A semi-automatic framework for highway extraction and vehicle detection based on a geometric deformable model Type de document : Article/Communication Auteurs : X. Niu, Auteur Année de publication : 2006 Article en page(s) : pp 170 - 186 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] autoroute
[Termes IGN] détection de cible
[Termes IGN] extraction du réseau routier
[Termes IGN] objet mobile
[Termes IGN] orthophotoplan numérique
[Termes IGN] photographie aérienne
[Termes IGN] trafic routierRésumé : (Auteur) Road extraction and vehicle detection are two of the most important steps of traffic flow analysis from multi-frame aerial photographs. The traditional way of deriving traffic flow trajectories relies on manual vehicle counting from a sequence of aerial photographs. It is tedious and time-consuming work. To improve this process, this research presents a new semi-automatic framework for highway extraction and vehicle detection from aerial photographs. The basis of the new framework is a geometric deformable model. This model refers to the minimization of an objective function that connects the optimization problem with the propagation of regular curves. Utilizing implicit representation of two-dimensional curve, the implementation of this model is capable of dealing with topological changes during curve deformation process and the output is independent of the position of the initial curves. A seed point propagation framework is designed and implemented. This framework incorporates highway extraction, tracking, and linking into one procedure. Manually selected seed points can be automatically propagated throughout a whole highway network. During the process, road center points are also extracted, which introduces a search direction for solving possible blocking problems. This new framework has been successfully applied to highway network extraction and vehicle detection from a large orthophoto mosaic. In this research, vehicles on the extracted highway network were detected with an 83% success rate. Copyright ISPRS Numéro de notice : A2006-603 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2006.08.004 En ligne : https://doi.org/10.1016/j.isprsjprs.2006.08.004 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28326
in ISPRS Journal of photogrammetry and remote sensing > vol 61 n° 3-4 (December 2006) . - pp 170 - 186[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 081-06091 RAB Atlas / Beau livre Centre de documentation En réserve L003 Exclu du prêt Bridge detection in airborne laser scanner data / George Sithole in ISPRS Journal of photogrammetry and remote sensing, vol 61 n° 1 (October 2006)
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Titre : Bridge detection in airborne laser scanner data Type de document : Article/Communication Auteurs : George Sithole, Auteur ; M. George Vosselman, Auteur Année de publication : 2006 Article en page(s) : pp 33 - 46 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] détection du bâti
[Termes IGN] données lidar
[Termes IGN] pont
[Termes IGN] segmentation d'image
[Termes IGN] semis de pointsRésumé : (Auteur) In a landscape bridges are ambiguous features in that they are extensions of the bare earth but they are also man made. Therefore, in a Digital Terrain Model (DTM) generation, depending on application it is necessary to keep or remove bridges. For this reason they have to be detected explicitly. A geometric bridge detection algorithm is proposed that is based on the idea that features can be detected in a landscape based on cross-sections (profiles) in a landscape. The topological information contained in the cross-sections are used to identify seed bridge points. The seed bridge points are then used to detect individual bridges. The bridge detection algorithm is novel in that the algorithm is blind to the shape of a bridge and is adaptable to different bridge designs. Therefore, bridges need not have parallel edges or uniform width. Furthermore, bridges can curve, split into parts, and contain holes. The bridge detection algorithm has been tested on various data sets and found to work very well in detecting bridges. Copyright ISPRS Numéro de notice : A2006-440 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2006.07.004 En ligne : https://doi.org/10.1016/j.isprsjprs.2006.07.004 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28164
in ISPRS Journal of photogrammetry and remote sensing > vol 61 n° 1 (October 2006) . - pp 33 - 46[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-06071 SL Revue Centre de documentation Revues en salle Disponible Absolute position estimation using IRS satellite images / Y.S. Oh in ISPRS Journal of photogrammetry and remote sensing, vol 60 n° 4 (June - July 2006)PermalinkAutomatic building detection using the Dempster-Shafer algorithm / Y.H. Lu in Photogrammetric Engineering & Remote Sensing, PERS, vol 72 n° 4 (April 2006)PermalinkDetecting roads in stabilized video with the spatio-temporal structure tensor / R. Plessl in Geoinformatica, vol 10 n° 1 (March - May 2006)PermalinkRoad extraction based on fuzzy logic and mathematical morphology from pan-sharpened Ikonos images / Ali Mohammadzadeh in Photogrammetric record, vol 21 n° 113 (March - May 2006)PermalinkComparison of automated watershed delineations: effects on land cover areas, percentages, and relationships to nutrient discharges / M.E. Baker in Photogrammetric Engineering & Remote Sensing, PERS, vol 72 n° 2 (February 2006)PermalinkPermalinkPermalinkAn automatic building reconstruction method : A structural approach using high resolution satellite images / Florent Lafarge (2006)PermalinkArbeitsgruppe "Automation inder Kartographie", Tagung 2005 / Bundesamt für Kartographie und Geodäsie (2006)PermalinkAufnahmen flugzeuggetragener Laserscanner als Grundlage zur Erfassung von Strassen und Wegen in bewaldeten Gebieten [Des données par laserscanner aéroporté comme base pour l'extraction de voies et de chemins dans des régions boisées] / M. Attwenger (2006)PermalinkAutomatic reconstruction of industrial installations using point clouds and images / Tahir Rabbani Shah (2006)PermalinkExtraction of tidal channel networks from aerial photographs alone and combined with laser altimetry / Bharat Lohani in International Journal of Remote Sensing IJRS, vol 27 n°1-2 (January 2006)PermalinkPermalinkImproving building footprints in InSAR data comparison with a Lidar DSM / Paolo Gamba in Photogrammetric Engineering & Remote Sensing, PERS, vol 72 n° 1 (January 2006)PermalinkOn the optimization and selection of wavelet texture for feature extraction from high-resolution satellite imagery with application towards urban-tree delineation / Y.O. Ouma in International Journal of Remote Sensing IJRS, vol 27 n°1-2 (January 2006)PermalinkPermalinkUtilisation conjointe de données image et laser pour la segmentation et la modélisation 3D / Matthieu Deveau (2006)PermalinkThe recognition of road network from high-resolution satellite remotely sensed data using image morphological characteristics / C. Zhu in International Journal of Remote Sensing IJRS, vol 26 n° 24 (December 2005)PermalinkExtraction semi-automatique de bâtiments par contours actifs surfaciques : adaptation au contexte Pléiades / P. Cornic in Revue Française de Photogrammétrie et de Télédétection, n° 180 (Décembre 2005)PermalinkMapping impervious surface type and sub-pixel abundance using Hyperion hyperspectral imagery / J. Falcone in Geocarto international, vol 20 n° 4 (December 2005 - February 2006)Permalink