Centre de documentation
scientifique

Dépouillements

Model driven reconstruction of roofs from sparse LIDAR point clouds / A. Henn in ISPRS Journal of photogrammetry and remote sensing, vol 76 (February 2013)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 76 (February 2013) . - pp 17 - 29 Titre : Model driven reconstruction of roofs from sparse LIDAR point clouds Type de document : Article/Communication Auteurs : A. Henn, Auteur ; G. Groger, Auteur ; et al., Auteur Année de publication : 2013 Article en page(s) : pp 17 - 29 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie [Termes IGN] classification par séparateurs à vaste marge [Termes IGN] données lidar [Termes IGN] empreinte [Termes IGN] Ransac (algorithme) [Termes IGN] reconstruction 3D du bâti [Termes IGN] semis de points clairsemés [Termes IGN] toit Résumé : (Auteur) This article presents a novel, fully automatic method for the reconstruction of three-dimensional building models with prototypical roofs (CityGML LoD2) from LIDAR data and building footprints. The proposed method derives accurate results from sparse point data sets and is suitable for large area reconstruction. Sparse LIDAR data are widely available nowadays. Robust estimation methods such as RANSAC/MSAC, are applied to derive best fitting roof models in a model-driven way. For the identification of the most probable roof model, supervised machine learning methods (Support Vector Machines) are used. In contrast to standard approaches (where the best model is selected via MDL or AIC), supervised classification is able to incorporate additional features enabling a significant improvement in model selection accuracy. Numéro de notice : A2013-089 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2012.11.004 En ligne : https://doi.org/10.1016/j.isprsjprs.2012.11.004 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32227 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
081-2013021	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Segmentation of terrestrial laser scanning data using geometry and image information / S. Barnea in ISPRS Journal of photogrammetry and remote sensing, vol 76 (February 2013)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 76 (February 2013) . - pp 33 - 48 Titre : Segmentation of terrestrial laser scanning data using geometry and image information Type de document : Article/Communication Auteurs : S. Barnea, Auteur ; S. Filin, Auteur Année de publication : 2013 Article en page(s) : pp 33 - 48 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie [Termes IGN] données lidar [Termes IGN] données localisées 3D [Termes IGN] fusion de données [Termes IGN] intégration de données [Termes IGN] reconstruction 3D du bâti [Termes IGN] segmentation [Termes IGN] télémétrie laser terrestre [Termes IGN] zone saillante 3D Résumé : (Auteur) Terrestrial laser scanning is becoming a standard technology for 3D modeling of complex scenes. Laser scans contain detailed geometric information, but still require interpretation of the data for making it useable for mapping purposes. A fundamental step in the transformation of the data into objects involves their segmentation into consistent units. Such units should follow some predefined rules, and result in salient regions guided by the desire that the individual segments represent object or object-parts within the scene. Nonetheless, due to the scene complexity and the variety of objects, a segmentation using only a single cue does not suffice. Considering the availability of additional data sources such as color images, more information can be integrated in the data partitioning process and ultimately into the reconstruction scheme. We propose segmentation of terrestrial laser scanning data by the integration of range and color content and by using multiple cues. This concept raises questions regarding their mode of integration, and definition of the expected outcome. We show, that while individual segmentation based on given cues have their own limitations, their integration provide a more coherent partitioning that has better potential for further processing. Experiments show that the proposed segmentation methodology yield physically meaningful segments, which surpass those obtained via segmentation of the individual channels. Numéro de notice : A2013-090 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2012.05.001 En ligne : https://doi.org/10.1016/j.isprsjprs.2012.05.001 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32228 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
081-2013021	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Combining terrestrial stereophotogrammetry, DGPS and GIS-based 3D voxel modelling in the volumetric recording of archaeological features / H. Orengo in ISPRS Journal of photogrammetry and remote sensing, vol 76 (February 2013)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 76 (February 2013) . - pp 49 - 55 Titre : Combining terrestrial stereophotogrammetry, DGPS and GIS-based 3D voxel modelling in the volumetric recording of archaeological features Type de document : Article/Communication Auteurs : H. Orengo, Auteur Année de publication : 2013 Article en page(s) : pp 49 - 55 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques [Termes IGN] acquisition d'images [Termes IGN] archéométrie [Termes IGN] géoréférencement indirect [Termes IGN] GPS en mode différentiel [Termes IGN] grotte [Termes IGN] modélisation 3D [Termes IGN] orthoimage [Termes IGN] photogrammétrie métrologique [Termes IGN] système d'information géographique [Termes IGN] voxel Résumé : (Auteur) Archaeological recording of structures and excavations in high mountain areas is greatly hindered by the scarce availability of both space, to transport material, and time. The Madriu-Perafita-Claror, InterAmbAr and PCR Mont Lozère high mountain projects have documented hundreds of archaeological structures and carried out many archaeological excavations. These projects required the development of a technique which could record both structures and the process of an archaeological excavation in a fast and reliable manner. The combination of DGPS, close-range terrestrial stereophotogrammetry and voxel based GIS modelling offered a perfect solution since it helped in developing a strategy which would obtain all the required data on-site fast and with a high degree of precision. These data are treated off-site to obtain georeferenced orthoimages covering both the structures and the excavation process from which site and excavation plans can be created. The proposed workflow outputs also include digital surface models and volumetric models of the excavated areas from which topography and archaeological profiles were obtained by voxel-based GIS procedures. In this way, all the graphic recording required by standard archaeological practices was met. Numéro de notice : A2013-091 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2012.07.005 En ligne : https://doi.org/10.1016/j.isprsjprs.2012.07.005 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32229 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
081-2013021	RAB	Revue	Centre de documentation	En réserve L003	Disponible

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)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 76 (February 2013) . - pp 56 - 63 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 terrestre Résumé : (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 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
081-2013021	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Automatic orientation and 3D modelling from markerless rock art imagery / J. Lerma in ISPRS Journal of photogrammetry and remote sensing, vol 76 (February 2013)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 76 (February 2013) . - pp 64 - 75 Titre : Automatic orientation and 3D modelling from markerless rock art imagery Type de document : Article/Communication Auteurs : J. Lerma, Auteur ; S. Navarro, Auteur ; et al., Auteur Année de publication : 2013 Article en page(s) : pp 64 - 75 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques [Termes IGN] appariement d'images [Termes IGN] art rupestre [Termes IGN] compensation par bloc [Termes IGN] compensation par faisceaux [Termes IGN] corrélation croisée normalisée [Termes IGN] image terrestre [Termes IGN] modélisation 3D [Termes IGN] orientation d'image [Termes IGN] SIFT (algorithme) [Termes IGN] télémétrie laser terrestre Résumé : (Auteur) This paper investigates the use of two detectors and descriptors on image pyramids for automatic image orientation and generation of 3D models. The detectors and descriptors replace manual measurements and are used to detect, extract and match features across multiple imagery. The Scale-Invariant Feature Transform (SIFT) and the Speeded Up Robust Features (SURF) will be assessed based on speed, number of features, matched features, and precision in image and object space depending on the adopted hierarchical matching scheme. The influence of applying in addition Area Based Matching (ABM) with normalised cross-correlation (NCC) and least squares matching (LSM) is also investigated. The pipeline makes use of photogrammetric and computer vision algorithms aiming minimum interaction and maximum accuracy from a calibrated camera. Both the exterior orientation parameters and the 3D coordinates in object space are sequentially estimated combining relative orientation, single space resection and bundle adjustment. The fully automatic image-based pipeline presented herein to automate the image orientation step of a sequence of terrestrial markerless imagery is compared with manual bundle block adjustment and terrestrial laser scanning (TLS) which serves as ground truth. The benefits of applying ABM after FBM will be assessed both in image and object space for the 3D modelling of a complex rock art shelter. Numéro de notice : A2013-093 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2012.08.002 En ligne : https://doi.org/10.1016/j.isprsjprs.2012.08.002 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32231 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
081-2013021	RAB	Revue	Centre de documentation	En réserve L003	Disponible

One billion points in the cloud – an octree for efficient processing of 3D laser scans / Jan Elseberg in ISPRS Journal of photogrammetry and remote sensing, vol 76 (February 2013)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 76 (February 2013) . - pp 76 - 88 Titre : One billion points in the cloud – an octree for efficient processing of 3D laser scans Type de document : Article/Communication Auteurs : Jan Elseberg, Auteur ; D. Borrmann, Auteur ; Andreas Nüchter, Auteur Année de publication : 2013 Article en page(s) : pp 76 - 88 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie [Termes IGN] architecture pipeline (processeur) [Termes IGN] compression de données [Termes IGN] données lidar [Termes IGN] données localisées 3D [Termes IGN] format d'échange [Termes IGN] modélisation 3D [Termes IGN] octree [Termes IGN] précision des données [Termes IGN] semis de points [Termes IGN] traitement de données [Termes IGN] visualisation de données Résumé : (Auteur) Automated 3-dimensional modeling pipelines include 3D scanning, registration, data abstraction, and visualization. All steps in such a pipeline require the processing of a massive amount of 3D data, due to the ability of current 3D scanners to sample environments with a high density. The increasing sampling rates make it easy to acquire billions of spatial data points. This paper presents algorithms and data structures for handling these data. We propose an efficient octree to store and compress 3D data without loss of precision. We demonstrate its usage for an exchange file format, fast point cloud visualization, sped-up 3D scan matching, and shape detection algorithms. We evaluate our approach using typical terrestrial laser scans. Numéro de notice : A2013-094 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2012.10.004 En ligne : https://doi.org/10.1016/j.isprsjprs.2012.10.004 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32232 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
081-2013021	RAB	Revue	Centre de documentation	En réserve L003	Disponible