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Using mobile laser scanning data for automated extraction of road markings / Haiyan Guan in ISPRS Journal of photogrammetry and remote sensing, vol 87 (January 2014)
[article]
Titre : Using mobile laser scanning data for automated extraction of road markings Type de document : Article/Communication Auteurs : Haiyan Guan, Auteur ; Jonathan Li, Auteur ; Yongtao Yu, Auteur ; et al., Auteur Année de publication : 2014 Article en page(s) : pp 93 - 107 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] densité des points
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] extraction automatique
[Termes IGN] interpolation inversement proportionnelle à la distance
[Termes IGN] morphologie mathématique
[Termes IGN] semis de points
[Termes IGN] seuillage de points
[Termes IGN] signalisation routièreRésumé : (Auteur) A mobile laser scanning (MLS) system allows direct collection of accurate 3D point information in unprecedented detail at highway speeds and at less than traditional survey costs, which serves the fast growing demands of transportation-related road surveying including road surface geometry and road environment. As one type of road feature in traffic management systems, road markings on paved roadways have important functions in providing guidance and information to drivers and pedestrians. This paper presents a stepwise procedure to recognize road markings from MLS point clouds. To improve computational efficiency, we first propose a curb-based method for road surface extraction. This method first partitions the raw MLS data into a set of profiles according to vehicle trajectory data, and then extracts small height jumps caused by curbs in the profiles via slope and elevation-difference thresholds. Next, points belonging to the extracted road surface are interpolated into a geo-referenced intensity image using an extended inverse-distance-weighted (IDW) approach. Finally, we dynamically segment the geo-referenced intensity image into road-marking candidates with multiple thresholds that correspond to different ranges determined by point-density appropriate normality. A morphological closing operation with a linear structuring element is finally used to refine the road-marking candidates by removing noise and improving completeness. This road-marking extraction algorithm is comprehensively discussed in the analysis of parameter sensitivity and overall performance. An experimental study performed on a set of road markings with ground-truth shows that the proposed algorithm provides a promising solution to the road-marking extraction from MLS data. Numéro de notice : A2014-015 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2013.11.005 En ligne : https://doi.org/10.1016/j.isprsjprs.2013.11.005 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32920
in ISPRS Journal of photogrammetry and remote sensing > vol 87 (January 2014) . - pp 93 - 107[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-2014011 RAB Revue Centre de documentation En réserve L003 Disponible A framework for the registration and segmentation of heterogeneous lidar data / M. Al-Durgham in Photogrammetric Engineering & Remote Sensing, PERS, vol 79 n° 2 (February 2013)
[article]
Titre : A framework for the registration and segmentation of heterogeneous lidar data Type de document : Article/Communication Auteurs : M. Al-Durgham, Auteur ; A. Habib, Auteur Année de publication : 2013 Article en page(s) : pp 135 - 145 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] densité des points
[Termes IGN] données hétérogènes
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] intégration de données
[Termes IGN] segmentation
[Termes IGN] superposition de donnéesRésumé : (Auteur) Lidar has been established over the past few years as a mainstream tool for the acquisition of three dimensional point data. Besides the conventional mapping missions, lidar has proven to be very useful for a wide spectrum of applications such as forestry, urban planning, structural deformation analysis, and reverse engineering. In the context of a nation-wide dataset, it is safe to assume that multiple laser scanners are under different conditions to collect the data. Current registration and segmentation algorithms assume homogeneity in the local point density and accuracy which is an invalid assumption that cannot be tolerated. As a consequence of the wide range of lidar sensors currently available, it is becoming crucial to develop algorithms for the registration and segmentation of lidar data with significantly varying characteristics (i.e., varying point density and accuracy). In this paper, a methodology for the optimal registration and segmentation of heterogeneous lidar data is presented. An example of integrating airborne and terrestrial laser scans is presented and followed by a discussion of the pros of the integration process. Numéro de notice : A2013-075 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.79.2.135 En ligne : https://doi.org/10.14358/PERS.79.2.135 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32213
in Photogrammetric Engineering & Remote Sensing, PERS > vol 79 n° 2 (February 2013) . - pp 135 - 145[article]Ground filtering and vegetation mapping using multi-return terrestrial laser scanning / Francesco Pirotti in ISPRS Journal of photogrammetry and remote sensing, vol 76 (February 2013)
[article]
Titre : Ground filtering and vegetation mapping using multi-return terrestrial laser scanning Type de document : Article/Communication Auteurs : Francesco Pirotti, Auteur ; A. Guarnieri, Auteur ; Antonio Vettore, Auteur Année de publication : 2013 Article en page(s) : pp 56 - 63 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] carte de la végétation
[Termes IGN] classification dirigée
[Termes IGN] densité de la végétation
[Termes IGN] densité des points
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] filtrage de points
[Termes IGN] hauteur de la végétation
[Termes IGN] modèle numérique de surface
[Termes IGN] modèle numérique de terrain
[Termes IGN] télémétrie laser terrestreRésumé : (Auteur) Discriminating laser scanner data points belonging to ground from points above-ground (vegetation or buildings) is a key issue in research. Methods for filtering points into ground and non-ground classes have been widely studied mostly on datasets derived from airborne laser scanners, less so for terrestrial laser scanners. Recent developments in terrestrial laser sensors (longer ranges, faster acquisition and multiple return echoes) has aroused greater interest for surface modelling applications. The downside of TLS is that a typical dataset has high variability in point density, with evident side-effects on processing methods and CPU-time. In this work we use a scan dataset from a sensor which returns multiple target echoes, in this case providing more than 70 million points on our study site. The area presents low, medium and high vegetation, undergrowth with varying density, as well as bare ground with varying morphology (i.e. very steep slopes as well as flat areas). We test an integrated work-flow for defining a terrain and surface model (DTM and DSM) and successively for extracting information on vegetation density and height distribution on such a complex environment. Attention was given to efficiency and speed of processing. The method consists on a first step which subsets the original points to define ground candidates by taking into account the ordinal return number and the amplitude. A custom progressive morphological filter (opening operation) is applied next, on ground candidate points using a multidimensional grid to account for the fallout in point density as a function of distance from scanner. Vegetation density mapping over the area is then estimated using a weighted ratio of point counts in the tri-dimensional space over each cell. The overall result is a pipeline for processing TLS points clouds with minimal user interaction, producing a Digital Terrain Model (DTM), a Digital Surface Model (DSM), a vegetation density map and a derived Canopy Height Model (CHM). These products are of high importance for many applications ranging from forestry to hydrology and geomorphology. Numéro de notice : A2013-092 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2012.08.003 En ligne : https://doi.org/10.1016/j.isprsjprs.2012.08.003 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32230
in ISPRS Journal of photogrammetry and remote sensing > vol 76 (February 2013) . - pp 56 - 63[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-2013021 RAB Revue Centre de documentation En réserve L003 Disponible New approaches for estimating local point density and its impact on lidar data segmentation / Z. Lari in Photogrammetric Engineering & Remote Sensing, PERS, vol 79 n° 2 (February 2013)
[article]
Titre : New approaches for estimating local point density and its impact on lidar data segmentation Type de document : Article/Communication Auteurs : Z. Lari, Auteur ; A. Habib, Auteur Année de publication : 2013 Article en page(s) : pp 195 - 207 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] contrôle qualité
[Termes IGN] densité des points
[Termes IGN] données lidar
[Termes IGN] filtrage du bruit
[Termes IGN] qualité des données
[Termes IGN] réflexion (rayonnement)
[Termes IGN] segmentation
[Termes IGN] semis de points
[Termes IGN] traitement de donnéesRésumé : (Auteur) Lidar systems have been proven as a cost-effective tool for the collection of high density and accurate point cloud over physical surfaces. The collected point cloud does not exhibit homogenous point distribution due to the characteristics of the scanning system and/or the physical properties of the scanned surfaces. In order to effectively process the lidar point clouds, local point density variations should be quantified and taken into account for the definition of processing parameters. In this paper, new approaches are presented for the estimation of local point density indices while considering the 3D relationship among lidar points, the physical properties of the reflecting surfaces, and the noise level in the datasets collected by different laser scanners. The impact of considering the estimated local point density variations on the quality of lidar data segmentation results is then investigated by performing a quality control procedure. Quantitative evaluation of segmentation results highlights the efficacy of utilizing the estimated local point density indices for the derivation of more accurate segmentation. Numéro de notice : A2013-079 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.79.2.195 En ligne : https://doi.org/10.14358/PERS.79.2.195 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32217
in Photogrammetric Engineering & Remote Sensing, PERS > vol 79 n° 2 (February 2013) . - pp 195 - 207[article]Lidar strip adjustment with automatically reconstructed roof shapes / M. Rentsch in Photogrammetric record, vol 27 n° 139 (September - November 2012)
[article]
Titre : Lidar strip adjustment with automatically reconstructed roof shapes Type de document : Article/Communication Auteurs : M. Rentsch, Auteur ; Peter Krzystek, Auteur Année de publication : 2012 Article en page(s) : pp 272 - 292 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] compensation par bloc
[Termes IGN] densité des points
[Termes IGN] données lidar
[Termes IGN] erreur systématique
[Termes IGN] étalonnage d'instrument
[Termes IGN] lidar à retour d'onde complète
[Termes IGN] ligne de visée
[Termes IGN] photogrammétrie terrestre
[Termes IGN] points homologues
[Termes IGN] reconstruction 3D du bâti
[Termes IGN] semis de points
[Termes IGN] toitRésumé : (Auteur) In recent years, the performance of lidar systems has steadily improved due to an increase in the achievable point density. The main error sources affecting the quality of lidar-derived secondary products such as digital terrain models (DTMs) and digital surface models (DSMs) are the result of systematic errors coming from insufficient boresight calibration. The effects of boresight misalignments are visually recognised as discrepancies of the laser point clouds at selected objects (such as building roofs) in overlapping areas of neighbouring lidar strips. In this work, a strip adjustment method is presented that corrects the systematic errors of the laser point cloud using five strip parameters (three shifts plus two angular corrections for heading and roll). The strip adjustment procedure uses 2D and 3D tie elements and takes advantage of a new 3D measurement technique applied to building roofs. The strip adjustment method is applied to three different datasets, consisting of conventional first/last pulse and full-waveform data. The results show that systematic discrepancies are typical for datasets that have already been processed by the flight companies. These errors can be reduced by more than 70% by applying the new strip adjustment approach. Preliminary investigations indicate that a higher laser point density and the inclusion of intensity and pulse width within full-waveform lidar data lead to better results. Numéro de notice : A2012-462 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1111/j.1477-9730.2012.00690.x Date de publication en ligne : 18/09/2012 En ligne : https://doi.org/10.1111/j.1477-9730.2012.00690.x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31908
in Photogrammetric record > vol 27 n° 139 (September - November 2012) . - pp 272 - 292[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 106-2012031 RAB Revue Centre de documentation En réserve L003 Disponible Small-footprint Lidar estimations of sagebrush canopy characteristics / J. Mitchell in Photogrammetric Engineering & Remote Sensing, PERS, vol 77 n° 5 (May 2011)PermalinkPermalinkConditional random fields for urban scene : Classification with full waveform LiDAR Data / Joachim Niemeyer (2011)PermalinkLiDAR surveys in the upper Rhine Valley: New insights for archeological and landscape applications / F. Basoge in Revue Française de Photogrammétrie et de Télédétection, n° 193 (Janvier 2011)PermalinkEffects of topographic variability and Lidar sampling density on several DEM interpolation methods / Q. Guo in Photogrammetric Engineering & Remote Sensing, PERS, vol 76 n° 6 (June 2010)PermalinkEffects of Lidar post-spacing and DEM resolution to mean slope estimation / T. Edwin in International journal of geographical information science IJGIS, vol 23 n°9-10 (september 2009)PermalinkDensity equalizing distortion of large geographic point sets / P. Bak in Cartography and Geographic Information Science, vol 36 n° 3 (July 2009)PermalinkA kernel density estimation method for networks, its computational method and a GIS-based tool / Atsuyuki Okabe in International journal of geographical information science IJGIS, vol 23 n° 1-2 (january 2009)PermalinkTaking LIDAR data to the next level / A. Denniss in GEO: Geoconnexion international, vol 8 n° 1 (january 2009)PermalinkEffect of data density, scan angle, and flying height on the accuracy of building extraction using LiDAR data / Bharat Lohani in Geocarto international, vol 23 n° 2 (April - May 2008)PermalinkUtilisation de la technologie du lidar bathymétrique pour le suivi littoral : retour d'expériences sur le littoral méditerranéen / Y. Balouin in Revue Française de Photogrammétrie et de Télédétection, n° 186 (Juin 2007)PermalinkAmalgamation in cartographic generalization using Kohonen's feature nets / M.K. Allouche in International journal of geographical information science IJGIS, vol 19 n° 8 - 9 (september 2005)PermalinkDEM generation and building detection from Lidar data / R. Ma in Photogrammetric Engineering & Remote Sensing, PERS, vol 71 n° 7 (July 2005)PermalinkRevealing images / Anonyme in GEO:connexion, vol 4 n° 1 (january 2005)PermalinkMapping Ontario's highways with Lidar: can Lidar complete with photogrammetric mapping / R. Berg in GIM international, vol 15 n° 11 (November 2001)PermalinkSurveying 3875 km of railroad track: Airborne LaserScanning shows its merits in South Africa / W. Ebersohn in Geoinformatics, vol 3 n° 3 (01/04/2000)PermalinkExperimente zur GPS-gestützten Aerotriangulation unter besonderer Berücksichtigung systematischer Einflüsse / C. Schwiertz (1994)PermalinkTowards the improvement of the dot map / R.E. Dahlberg in Annuaire international de cartographie, n° 7 (1967)Permalink