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Detection and vectorization of roads from lidar data / S. Clode in Photogrammetric Engineering & Remote Sensing, PERS, vol 73 n° 5 (May 2007)
[article]
Titre : Detection and vectorization of roads from lidar data Type de document : Article/Communication Auteurs : S. Clode, Auteur ; Franz Rottensteiner, Auteur ; P. Kootsookos, Auteur ; E. Zelniker, Auteur Année de publication : 2007 Article en page(s) : pp 517 - 535 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] Australie
[Termes IGN] axe médian
[Termes IGN] convolution (signal)
[Termes IGN] détection automatique
[Termes IGN] détection de contours
[Termes IGN] données lidar
[Termes IGN] extraction du réseau routier
[Termes IGN] lasergrammétrie
[Termes IGN] milieu urbain
[Termes IGN] réseau routier
[Termes IGN] semis de points
[Termes IGN] vectorisationRésumé : (Auteur) A method for the automatic detection and vectorization of roads from lidar data is presented. To extract roads from a lidar point cloud, a hierarchical classification technique is used to classify the lidar points progressively into road and non-road points. During the classification process, both intensity and height values are initially used. Due to the homogeneous and consistent nature of roads, a local point density is introduced to finalize the classification. The resultant binary classification is then vectorized by convolving a complex-valued disk named the Phase Coded Disk (PCD) with the image to provide three separate pieces of information about the road. The centerline and width of the road are obtained from the resultant magnitude image while the direction is determined from the corresponding phase image, thus completing the vectorized road model. All algorithms used are described and applied to two urban test sites. Completeness values of 0.88 and 0.79 and correctness values of 0.67 and 0.80 were achieved for the classification phase of the process. The vectorization of the classified results yielded RMS values of 1.56 m and 1.66 m, completeness values of 0.84 and 0.81 and correctness values of 0.75 and 0.80 for two different data sets. Copyright ASPRS Numéro de notice : A2007-244 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.73.5.517 En ligne : https://doi.org/10.14358/PERS.73.5.517 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28607
in Photogrammetric Engineering & Remote Sensing, PERS > vol 73 n° 5 (May 2007) . - pp 517 - 535[article]Open-source software-operated CMOS camera for real-time mapping / Hervé Gontran in Revue Française de Photogrammétrie et de Télédétection, n° 185 (Mars 2007)
[article]
Titre : Open-source software-operated CMOS camera for real-time mapping Type de document : Article/Communication Auteurs : Hervé Gontran, Auteur ; Jan Skaloud, Auteur ; N. Janvier, Auteur Année de publication : 2007 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 73 - 77 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] axe médian
[Termes IGN] chambre CMOS
[Termes IGN] extraction automatique
[Termes IGN] extraction du réseau routier
[Termes IGN] géoréférencement direct
[Termes IGN] image vidéo
[Termes IGN] logiciel libre
[Termes IGN] prise de vue terrestre
[Termes IGN] route
[Termes IGN] système de numérisation mobile
[Termes IGN] temps réelRésumé : (Auteur) Accurate time registration, georeferencing, and instantaneous feature extraction are important challenges for real-time mapping systems. The Geodetic Engineering Laboratory (TOPO) at the EPFL has designed a mobile platform to automatically determine the geometry of the road centerline: the Photobus. Our system fully exploits the concept of direct georeferencing by combining navigation data with video sequences grabbed by a downward-pointing camera. This paper presents the realization of the authors' vision of real-time mapping that encompasses a mobile acquisition platform dedicated for a well-defined task. To sustain the high performance requirements of such a data-critical application, the use of custom-made software based on open-source libraries is a preferred approach of implementation. In this context, we investigate the suitability of using a close-to-nadiral CMOS camera to extract the road geometry with a reliable and almost latency-free methodology. We will first focus on the frame-grabbing process for which an open-source approach guarantees the versatile integration of the camera into the mapping platform. The second part of the paper discusses the process of extracting and georeferencing features of interest in an automatic manner. To open perspectives, we will investigate an extension of the surveying capabilities of the Photobus with stereovision. Copyright SFPT Numéro de notice : A2007-401 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : sans En ligne : https://www.isprs.org/proceedings/XXXVI/part1/Papers/T10-42.pdf Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28764
in Revue Française de Photogrammétrie et de Télédétection > n° 185 (Mars 2007) . - pp 73 - 77[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 018-07011 RAB Revue Centre de documentation En réserve L003 Disponible A snake-based approach for TIGER data conflation / W. Song in Cartography and Geographic Information Science, vol 33 n° 4 (October 2006)
[article]
Titre : A snake-based approach for TIGER data conflation Type de document : Article/Communication Auteurs : W. Song, Auteur ; L. Haithcoat, Auteur ; J.M. Keller, Auteur Année de publication : 2006 Article en page(s) : pp 287 - 298 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées
[Termes IGN] axe médian
[Termes IGN] données vectorielles
[Termes IGN] fusion de données multisource
[Termes IGN] intégration de données
[Termes IGN] noeud
[Termes IGN] précision de localisation
[Termes IGN] réseau routier
[Termes IGN] route
[Termes IGN] Topologically Integrated Geographic Encoding and ReferencingRésumé : (Auteur) The TIGER (Topologically Integrated Geographic Encoding and Referencing) system has served the U.S. Census Bureau and other agencies' geographic needs successfully for two decades. Poor positional accuracy has however made it extremely difficult to integrate TIGER with advanced technologies and data sources such as GPS, high resolution imagery, and state/local GIS data. In this paper, a potential solution for conflation of TIGER road centerline data with other geospatial data is presented. The first two steps of the approach (feature matching and map alignment) remain the same as in traditional conflation. Following these steps, a third is added in which active contour models (snakes) are used to automatically move the vertices of TIGER roads to high-accuracy roads, rather than transferring attributes between the two datasets. This approach has benefits over traditional conflation methodology. It overcomes the problem of splitting vector road line segments, and it can be extended for vector imagery conflation as well. Thus, a variety of data sources (GIS, GPS, and Remote Sensing) could be used to improve TIGER data. Preliminary test results indicate that the three-step approach proposed in this paper performs very well. The positional accuracy of TIGER road centerline can be improved from an original 100 plus meters' RMS error to only 3 meters. Such an improvement can make TIGER data more useful for much broader application. Copyright CaGISociety Numéro de notice : A2006-589 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article DOI : 10.1559/152304006779500669 En ligne : https://doi.org/10.1559/152304006779500669 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28312
in Cartography and Geographic Information Science > vol 33 n° 4 (October 2006) . - pp 287 - 298[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 032-06041 RAB Revue Centre de documentation En réserve L003 Disponible Creating a hydrographic network from its cartographic representation: a case study using Ordnance Survey mastermap data / Nicolas Regnauld in International journal of geographical information science IJGIS, vol 20 n° 6 (july 2006)
[article]
Titre : Creating a hydrographic network from its cartographic representation: a case study using Ordnance Survey mastermap data Type de document : Article/Communication Auteurs : Nicolas Regnauld , Auteur ; William A Mackaness, Auteur Année de publication : 2006 Article en page(s) : pp 611 - 631 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Systèmes d'information géographique
[Termes IGN] axe médian
[Termes IGN] carte numérisée
[Termes IGN] cartographie automatique
[Termes IGN] cartographie numérique
[Termes IGN] eau de surface
[Termes IGN] grande échelle
[Termes IGN] Grande-Bretagne
[Termes IGN] incertitude géométrique
[Termes IGN] modèle numérique de surface
[Termes IGN] Ordnance Survey of Great Britain
[Termes IGN] réseau hydrographique
[Termes IGN] squelettisation
[Termes IGN] zone rurale
[Termes IGN] zone urbaineRésumé : (Auteur) A meaningful hydrological network is critical to spatial analysis and modelling. 'Meaningful' in that it is topologically correct, provides a basis for modelling flow and differentiates between different types of water features. In Great Britain, large-scale digital mapping of hydrological features was captured from paper maps and had a cartographic emphasis that had poor attribution, and no underlying model that supported geographical modelling. This emphasis gave rise to rivers and lakes that were variously 'broken' into sections by features such as dams, bridges, and culverts. This paper reports on research to create automatically a topologically connected hydrological network that underpins the detailed cartographic representation of such features. The network was created by joining these hydrographic features together according to rules of both continuity and proximity between river sections, and their flow direction (using an underlying digital elevation model). Confidence values were associated with each section link reflecting the certainty of that connection. The confidence values provided a basis for directing human intervention to uncertain connections as part of the final editing process. The project took as its input OS MasterMap 'water feature' data. A skeletonisation process was used to create the medial axis of the network. The paper reports in detail the methodology, the implementation and evaluation. The algorithm worked well in rural areas where interruptions are small and there is greater variation in height. In urban areas the challenges were greater where typically relatively long sections of river may be re-engineered and culverted, and where the fidelity of the digital elevation model was insufficient to discern the subtle changes in elevation. Copyright Taylor & Francis Numéro de notice : A2006-237 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article DOI : 10.1080/13658810600607402 En ligne : https://doi.org/10.1080/13658810600607402 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27964
in International journal of geographical information science IJGIS > vol 20 n° 6 (july 2006) . - pp 611 - 631[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 079-06061 RAB Revue Centre de documentation En réserve L003 Disponible 079-06062 RAB Revue Centre de documentation En réserve L003 Disponible Automated road extraction from high resolution multispectral imagery / P. Doucette in Photogrammetric Engineering & Remote Sensing, PERS, vol 70 n° 12 (December 2004)
[article]
Titre : Automated road extraction from high resolution multispectral imagery Type de document : Article/Communication Auteurs : P. Doucette, Auteur ; Peggy Agouris, Auteur ; A. Stefanidis, Auteur Année de publication : 2004 Article en page(s) : pp 1405 - 1416 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique
[Termes IGN] axe médian
[Termes IGN] bande infrarouge
[Termes IGN] banlieue
[Termes IGN] classification dirigée
[Termes IGN] extraction automatique
[Termes IGN] extraction du réseau routier
[Termes IGN] image à haute résolution
[Termes IGN] image en couleur
[Termes IGN] image multibande
[Termes IGN] logique floue
[Termes IGN] milieu urbain
[Termes IGN] parallélisme
[Termes IGN] topologieRésumé : (Auteur) This work presents a novel methodology for fully automated road centerline extraction that exploits spectral content from high resolution multispectral images. Preliminary detection of candidate road centerline components is performed with Anti-parallel-edge Centerline Extraction (ACE). This is followed by constructing a road vector topology with a fuzzy grouping model that links nodes from a self-organized mapping of the ACE components. Following topology construction, a Self-Supervised Road Classification (SSRC) feedback loop is implemented to automate the process of training sample selection and refinement for a road class, as well as deriving practical spectral definitions for non-road classes. SSRC demonstrates a potential to provide dramatic improvement in road extraction results by exploiting spectral content. Road centerline extraction results are presented for three 1 m color infrared suburban scenes which show significant improvement following SSRC. Numéro de notice : A2004-502 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.70.12.1405 En ligne : https://doi.org/10.14358/PERS.70.12.1405 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27019
in Photogrammetric Engineering & Remote Sensing, PERS > vol 70 n° 12 (December 2004) . - pp 1405 - 1416[article]A robust method for semi-automatic extraction of road centrelines using a piecewise parabolic model and least square template matching / Xiangyun Hu in Photogrammetric Engineering & Remote Sensing, PERS, vol 70 n° 12 (December 2004)PermalinkTracking road centrelines from high resolution remote sensing images by least squares correlation matching / S.R. Park in Photogrammetric Engineering & Remote Sensing, PERS, vol 70 n° 12 (December 2004)PermalinkA wavelet transform based for road centerline extraction / Tianen Chen in Photogrammetric Engineering & Remote Sensing, PERS, vol 70 n° 12 (December 2004)PermalinkRedefining the paradigm of modern mobile mapping: an automated high-precision road centerline mapping system / Charles K. Toth in Photogrammetric Engineering & Remote Sensing, PERS, vol 70 n° 6 (June 2004)PermalinkEléments de géométrie qualitative pour la description structurale d'objets / Pierre Gambarotto (2003)PermalinkMedial axis generalization of river networks / M. Mcallister in Cartography and Geographic Information Science, vol 27 n° 2 (April 2000)PermalinkGenerating street center - lines from inaccurate vector city maps / F. Thomas in Cartography and geographic information systems, vol 25 n° 4 (October 1998)PermalinkAutomatisation de la saisie des routes sur images aériennes / Sylvain Airault in Bulletin [Société Française de Photogrammétrie et Télédétection], n° 131 (Juillet 1993)PermalinkLissage des axes de route issus du suivi automatique / Guy Chardiny (1993)PermalinkSuivi automatique de routes sur images aériennes / Jean-François Hangouët (1993)PermalinkFiltrage et décomposition de formes par manipulation de régions / A. Montanvert (16/11/1987)Permalink