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A shape-based segmentation method for mobile laser scanning point clouds / Yang Bisheng in ISPRS Journal of photogrammetry and remote sensing, vol 81 (July 2013)
[article]
Titre : A shape-based segmentation method for mobile laser scanning point clouds Type de document : Article/Communication Auteurs : Yang Bisheng, Auteur ; Zhen Dong, Auteur Année de publication : 2013 Article en page(s) : pp 19 - 30 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] classification par séparateurs à vaste marge
[Termes IGN] connexité (topologie)
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] segmentation
[Termes IGN] semis de points
[Termes IGN] traitement automatique de donnéesRésumé : (Auteur) Segmentation of mobile laser point clouds of urban scenes into objects is an important step for post-processing (e.g., interpretation) of point clouds. Point clouds of urban scenes contain numerous objects with significant size variability, complex and incomplete structures, and holes or variable point densities, raising great challenges for the segmentation of mobile laser point clouds. This paper addresses these challenges by proposing a shape-based segmentation method. The proposed method first calculates the optimal neighborhood size of each point to derive the geometric features associated with it, and then classifies the point clouds according to geometric features using support vector machines (SVMs). Second, a set of rules are defined to segment the classified point clouds, and a similarity criterion for segments is proposed to overcome over-segmentation. Finally, the segmentation output is merged based on topological connectivity into a meaningful geometrical abstraction. The proposed method has been tested on point clouds of two urban scenes obtained by different mobile laser scanners. The results show that the proposed method segments large-scale mobile laser point clouds with good accuracy and computationally effective time cost, and that it segments pole-like objects particularly well. Numéro de notice : A2013-386 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2013.04.002 En ligne : https://doi.org/10.1016/j.isprsjprs.2013.04.002 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32524
in ISPRS Journal of photogrammetry and remote sensing > vol 81 (July 2013) . - pp 19 - 30[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-2013071 RAB Revue Centre de documentation En réserve L003 Disponible Assessing the positional accuracy of airborne laser scanning in urban areas / Joachim Hölhe in Photogrammetric record, vol 28 n° 142 (June - August 2013)
[article]
Titre : Assessing the positional accuracy of airborne laser scanning in urban areas Type de document : Article/Communication Auteurs : Joachim Hölhe, Auteur Année de publication : 2013 Article en page(s) : pp 196 - 210 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] estimation de précision
[Termes IGN] lasergrammétrie
[Termes IGN] milieu urbain
[Termes IGN] précision du positionnement
[Termes IGN] semis de points
[Termes IGN] télémétrie laser aéroportéRésumé : (Auteur) A new method for assessment of the absolute positional accuracy of lidar point clouds is described. It is based on the plane surfaces of building roofs which are derived from laser footprints. Three such planes intersect at a point and the coordinates of several of these well-defined points are compared with points determined from aerial photography. From the differences obtained accuracy measures are derived. An analysis regarding the type of error distribution is carried out in order to determine whether to apply either standard or robust accuracy measures. Confidence intervals are derived for each accuracy measure by means of a unique computational method. A practical test with the proposed method revealed a high precision in the intersected points. The absolute positional accuracy of the lidar point cloud was determined with both standard and robust accuracy measures; the latter always produced smaller values. Suggestions for standards in the assessment of the positional accuracy of laser point clouds are made. Numéro de notice : A2013-336 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1111/phor.12013 Date de publication en ligne : 14/04/2013 En ligne : https://doi.org/10.1111/phor.12013 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32474
in Photogrammetric record > vol 28 n° 142 (June - August 2013) . - pp 196 - 210[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 106-2013021 RAB Revue Centre de documentation En réserve L003 Disponible Challenges and lessons from a wetland LiDAR project: a case study of the Okefenokee Swamp, Georgia, USA / L. Shea Rose in Geocarto international, vol 28 n° 3-4 (June - July 2013)
[article]
Titre : Challenges and lessons from a wetland LiDAR project: a case study of the Okefenokee Swamp, Georgia, USA Type de document : Article/Communication Auteurs : L. Shea Rose, Auteur ; Jeong C. Seong, Auteur ; Jared Ogle, Auteur ; Ed Beute, Auteur ; et al., Auteur Année de publication : 2013 Article en page(s) : pp 210 - 226 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] Géorgie (Etats-Unis)
[Termes IGN] marais salant
[Termes IGN] modèle numérique de surface
[Termes IGN] pente
[Termes IGN] tourbe
[Termes IGN] zone humideRésumé : (Auteur) Airborne LiDAR (Light Detection and Ranging) provides opportunities to generate high-quality digital elevation models (DEMs) even in wetland environments. Our project, performed over the Okefenokee Swamp in Georgia during the spring of 2010, shows that several, distinctive factors must be considered to ensure successful wetland LiDAR projects. Some of the challenges include selecting optimal flight times in accordance with weather variability and water levels, having effective and quality control protocols, applying and developing filtering and interpolation algorithms, breaklines in swamps and accounting for data striping and noise. While some of these issues are faced in any airborne LiDAR acquisition, many of these require special consideration in a low-slope wetland environment with water saturated soils, widespread shallow water, and sediments and extensive vegetation. An examination of these issues and how they were handled will help in ensuring the success of future LiDAR acquisitions and, in particular, will advance knowledge of producing quality DEMs in wetland environments. Numéro de notice : A2013-396 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2012.681707 Date de publication en ligne : 14/05/2012 En ligne : https://doi.org/10.1080/10106049.2012.681707 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32534
in Geocarto international > vol 28 n° 3-4 (June - July 2013) . - pp 210 - 226[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 059-2013021 RAB Revue Centre de documentation En réserve L003 Disponible Derivation of tree skeletons and error assessment using LiDAR point cloud data of varying quality / Magnus Bremer in ISPRS Journal of photogrammetry and remote sensing, vol 80 (June 2013)
[article]
Titre : Derivation of tree skeletons and error assessment using LiDAR point cloud data of varying quality Type de document : Article/Communication Auteurs : Magnus Bremer, Auteur ; Martin Rutzinger, Auteur ; V. Wichmann, Auteur Année de publication : 2013 Article en page(s) : pp 39 - 50 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] arbre (flore)
[Termes IGN] artefact
[Termes IGN] données lidar
[Termes IGN] semis de points
[Termes IGN] squelettisation
[Termes IGN] vecteur propreRésumé : (Auteur) The architecture of trees is of particular interest for 3D model creation in forestry and ecolocical applications. Terrestrial (TLS) and mobile laser scanning (MLS) systems are used to acquire detailed geometrical data of trees. Since 3D point clouds from laser scanning consist of large data amounts representing uninterpreted topographical information including noise and data gaps, an extraction of salient tree structures is important for further applications. We present a fully automated modular workflow for topological reliable reconstruction of tree architecture. Object-based point cloud processing such as branch extraction is combined with tree skeletonization. Branch extraction is performed using a segmentation procedure followed by segment-based analysis of form indices derived from eigenvector metrics. Extracted branch primitives are simplified and connected to line features during skeletonization. The modular workflow allows comprehensive parameter tests and error assessments that are used for a calibration of the module parameters with respect to various characteristics of the input data (e.g noise, scanning resolution, and the number of scan positions). The estimated parameter settings are validated using an exemplary MLS data set. The quality of input point cloud data, strongly influencing the quality of the skeleton results, can be improved by the presented branch extraction procedure. The potential for data improvement increases with increasing point densities. For our object-based appoach, we can show that the presence of erroneous structures and filtering artifacts have the strongest influence onto the quality of the derived skeletons. In contrast to traditional skeletonization approaches, the existance of data gaps has less influence onto the results. Numéro de notice : A2013-297 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2013.03.003 En ligne : https://doi.org/10.1016/j.isprsjprs.2013.03.003 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32435
in ISPRS Journal of photogrammetry and remote sensing > vol 80 (June 2013) . - pp 39 - 50[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-2013061 RAB Revue Centre de documentation En réserve L003 Disponible A generative statistical approach to automatic 3D building roof reconstruction from laser scanning data / Hai Huang in ISPRS Journal of photogrammetry and remote sensing, vol 79 (May 2013)
[article]
Titre : A generative statistical approach to automatic 3D building roof reconstruction from laser scanning data Type de document : Article/Communication Auteurs : Hai Huang, Auteur ; Claus Brenner, Auteur ; Monika Sester, Auteur Année de publication : 2013 Article en page(s) : pp 29 - 53 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] bibliothèque de formes
[Termes IGN] chaîne de Markov
[Termes IGN] détection du bâti
[Termes IGN] données lidar
[Termes IGN] primitive géométrique
[Termes IGN] reconstruction 3D du bâti
[Termes IGN] segmentation
[Termes IGN] semis de points
[Termes IGN] toitRésumé : (Auteur) This paper presents a generative statistical approach to automatic 3D building roof reconstruction from airborne laser scanning point clouds. In previous works, bottom-up methods, e.g., points clustering, plane detection, and contour extraction, are widely used. Due to the data artefacts caused by tree clutter, reflection from windows, water features, etc., the bottom-up reconstruction in urban areas may suffer from a number of incomplete or irregular roof parts. Manually given geometric constraints are usually needed to ensure plausible results. In this work we propose an automatic process with emphasis on top-down approaches. The input point cloud is firstly pre-segmented into subzones containing a limited number of buildings to reduce the computational complexity for large urban scenes. For the building extraction and reconstruction in the subzones we propose a pure top-down statistical scheme, in which the bottom-up efforts or additional data like building footprints are no more required. Based on a predefined primitive library we conduct a generative modeling to reconstruct roof models that fit the data. Primitives are assembled into an entire roof with given rules of combination and merging. Overlaps of primitives are allowed in the assembly. The selection of roof primitives, as well as the sampling of their parameters, is driven by a variant of Markov Chain Monte Carlo technique with specified jump mechanism. Experiments are performed on data-sets of different building types (from simple houses, high-rise buildings to combined building groups) and resolutions. The results show robustness despite the data artefacts mentioned above and plausibility in reconstruction. Numéro de notice : A2013-232 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2013.02.004 En ligne : https://doi.org/10.1016/j.isprsjprs.2013.02.004 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32370
in ISPRS Journal of photogrammetry and remote sensing > vol 79 (May 2013) . - pp 29 - 53[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-2013051 RAB Revue Centre de documentation En réserve L003 Disponible Geometric calibration of a terrestrial laser scanner with local additional parameters: An automatic strategy / D. Garcia-San-Miguel in ISPRS Journal of photogrammetry and remote sensing, vol 79 (May 2013)PermalinkInfluence of a dense, low-height shrub species on the accuracy of a lidar-derived DEM / Samuel B. Gould in Photogrammetric Engineering & Remote Sensing, PERS, vol 79 n° 5 (May 2013)PermalinkA laser scanning-based method for fast estimation of seismic-induced building deformations / Arianna Pesci in ISPRS Journal of photogrammetry and remote sensing, vol 79 (May 2013)PermalinkRestoration drama / Théo Drechsel in GEO: Geoconnexion international, vol 12 n° 5 (may 2013)PermalinkSemi-automated extraction and delineation of 3D roads of street scene from mobile laser scanning point clouds / Bishen Yang in ISPRS Journal of photogrammetry and remote sensing, vol 79 (May 2013)PermalinkShipborne Scanning - Simultane 3D-Vermessung des Flussbettes und der Uferbereiche am Hochrhein dirch Bathymetrie und mobiles Laserscanning / Thomas P. Kersten in Géomatique suisse, vol 111 n° 5 (mai 2013)PermalinkSingle tree detection from airborne laser scanning data using a marked point process based method / Junjie Zhang in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol II-3 W1 (May 2013)PermalinkTowards 3D lidar point cloud registration improvement using optimal neighborhood knowledge / Adrien Gressin in ISPRS Journal of photogrammetry and remote sensing, vol 79 (May 2013)PermalinkGrowth-competition-based stem diameter and volume modeling for tree-level forest inventory using airborne LiDAR data / Chien-Shun Lo in IEEE Transactions on geoscience and remote sensing, vol 51 n° 4 Tome 2 (April 2013)PermalinkMise en cohérence de données laser cartographique par recalage non-rigide / Fabrice Monnier in Revue Française de Photogrammétrie et de Télédétection, n° 202 (Avril 2013)Permalink