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3D-sutra-interactive analysis tool for a Web atlas of scanned sutra inscriptions in China / N. Schmidt in Photogrammetric record, vol 26 n° 136 (December 2011 - February 2012)
[article]
Titre : 3D-sutra-interactive analysis tool for a Web atlas of scanned sutra inscriptions in China Type de document : Article/Communication Auteurs : N. Schmidt, Auteur ; R. Schütze, Auteur ; F. Boochs, Auteur Année de publication : 2011 Article en page(s) : pp 488 - 505 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] atlas numérique
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] patrimoine culturel
[Termes IGN] programme interactif
[Termes IGN] reconstruction 3D
[Termes IGN] Setchouan (Chine)
[Termes IGN] site web
[Termes IGN] télémétrie laser terrestreRésumé : (Auteur) Buddhist stone inscriptions of the 8th to 12th centuries ad are important cultural assets of China that need to be documented, analysed and interpreted archaeologically, art-historically and linguistically. On the one hand, such Buddhist stone inscriptions have to be conserved for future generations, but on the other hand, further possibilities for analysing the data could be achieved if the inscriptions were made accessible to a wider community, for instance, for understanding of the historical growth of Buddhism in China. In this paper, innovative techniques for the documentation of stone inscriptions located in the province of Sichuan, in the south-west of China, are demonstrated. The tasks to be performed include capturing the stone inscriptions by using high precision measuring techniques to generate copies of the original inscriptions, together with processing of the data enabling improvement in the legibility of characters and thus aiding the interpretation of the inscriptions. The concept and features of image processing as applied to the captured inscriptions are outlined. In order to present the outcome to as many people as possible and to allow individual interpretations of the results of the stone inscription reconstruction, their current interpretation and additional 2D/3D maps are published within an interactive web platform. Numéro de notice : A2011-498 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1111/j.1477-9730.2011.00660.x En ligne : http://dx.doi.org/10.1111/j.1477-9730.2011.00660.x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31392
in Photogrammetric record > vol 26 n° 136 (December 2011 - February 2012) . - pp 488 - 505[article]Data fusion of extremely high resolution aerial imagery and LiDAR data for automated railroad centre line reconstruction / R. Beger in ISPRS Journal of photogrammetry and remote sensing, vol 66 n° 6 supplement (December 2011)
[article]
Titre : Data fusion of extremely high resolution aerial imagery and LiDAR data for automated railroad centre line reconstruction Type de document : Article/Communication Auteurs : R. Beger, Auteur ; C. Gedrange, Auteur ; Robert Hecht, Auteur ; M. Neubert, Auteur Année de publication : 2011 Article en page(s) : pp 40 - 51 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] axe médian
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] extraction de traits caractéristiques
[Termes IGN] fusion de données
[Termes IGN] image aérienne
[Termes IGN] lasergrammétrie
[Termes IGN] orthoimage
[Termes IGN] précision des données
[Termes IGN] semis de points
[Termes IGN] voie ferréeRésumé : (Auteur) The quality of remotely sensed data in regards of accuracy and resolution has considerably improved in recent years. Very small objects are detectable by means of imaging and laser scanning, yet there are only few studies to use such data for large scale mapping of railroad infrastructure. In this paper, an approach is presented that integrates extremely high resolution ortho-imagery and dense airborne laser scanning point clouds. These data sets are used to reconstruct railroad track centre lines. A feature level data fusion is carried out in order to combine the advantages of both data sets and to achieve a maximum of accuracy and completeness. The workflow consists of three successive processing steps. First, object-based image analysis is used to derive a railroad track mask from ortho-imagery. This spatial location information is then combined with the height information to classify the laser points. Lastly, the location of railroad track centre lines from these classified points were approximated using a feature extraction method based on an adapted random sample consensus algorithm. This workflow is tested on two railroad sections and was found to deliver very accurate results in a quickly and highly automated manner. Numéro de notice : A2011-517 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2011.09.012 En ligne : https://doi.org/10.1016/j.isprsjprs.2011.09.012 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31411
in ISPRS Journal of photogrammetry and remote sensing > vol 66 n° 6 supplement (December 2011) . - pp 40 - 51[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-2011071 SL Revue Centre de documentation Revues en salle Disponible Fast and automatic image-based registration of TLS data / M. Weimann in ISPRS Journal of photogrammetry and remote sensing, vol 66 n° 6 supplement (December 2011)
[article]
Titre : Fast and automatic image-based registration of TLS data Type de document : Article/Communication Auteurs : M. Weimann, Auteur ; Stefan Hinz, Auteur ; Boris Jutzi, Auteur Année de publication : 2011 Article en page(s) : pp 62 - 70 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] données laser
[Termes IGN] données localisées 2D
[Termes IGN] données localisées 3D
[Termes IGN] précision centimétrique
[Termes IGN] Ransac (algorithme)
[Termes IGN] semis de points
[Termes IGN] SIFT (algorithme)
[Termes IGN] superposition d'images
[Termes IGN] traitement d'imageRésumé : (Auteur) The fast and automatic registration of laser scanner data is of great interest in photogrammetric research. Recent developments show that for registration purposes characteristic 3D points can be extracted from the measured laser data, where the data are also represented as image. In this paper, radiometric and geometric information derived from TLS data are utilized for estimating the transformation parameters between two unregistered point clouds. After the extraction of characteristic 2D points based on SIFT features, these points are projected into 3D space by using interpolated range information. From these 3D conjugate points and their corresponding 2D projections onto a virtual plane 3D-to-2D correspondences are established. The fast, accurate and robust RANSAC-based registration scheme including the EPnP algorithm provides a framework to estimate the coarse transformation parameters from these 3D-to-2D correspondences. The coarse estimates are further refined by a single step outlier removal to gain a higher accuracy by introducing additional geometric constraints. These new constraints are based on 3D-to-3D correspondences which are much stronger than the 3D-to-2D correspondences alone. It will be shown that the presented approach is successfully applied to a benchmarked data set with millions of points resulting in a fast and accurate estimation of the transformation parameters with a processing speed of several seconds on a standard PC and an accuracy in the low centimeter range. Numéro de notice : A2011-519 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2011.09.010 En ligne : https://doi.org/10.1016/j.isprsjprs.2011.09.010 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31413
in ISPRS Journal of photogrammetry and remote sensing > vol 66 n° 6 supplement (December 2011) . - pp 62 - 70[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-2011071 SL Revue Centre de documentation Revues en salle Disponible Fusion of camera images and laser scans for wide baseline 3D scene alignment in urban environments / Michael Ying Yang in ISPRS Journal of photogrammetry and remote sensing, vol 66 n° 6 supplement (December 2011)
[article]
Titre : Fusion of camera images and laser scans for wide baseline 3D scene alignment in urban environments Type de document : Article/Communication Auteurs : Michael Ying Yang, Auteur ; Y. Cao, Auteur ; John McDonald, Auteur Année de publication : 2011 Article en page(s) : pp 52 - 61 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] données lidar
[Termes IGN] données localisées 2D
[Termes IGN] données localisées 3D
[Termes IGN] extraction de traits caractéristiques
[Termes IGN] fusion de données
[Termes IGN] lasergrammétrie
[Termes IGN] ligne de base
[Termes IGN] prise de vue terrestre
[Termes IGN] semis de points
[Termes IGN] superposition de données
[Termes IGN] zone urbaineRésumé : (Auteur) In this paper we address the problem of automatic laser scan registration in urban environments. This represents a challenging problem for two major reasons. First, two individual laser scans might be captured at significantly changed viewpoints (wide baseline) and have very little overlap. Second, man-made buildings usually contain many structures of similar appearances. This will result in considerable aliasing in the matching process. By sensor fusion of laser data with camera images, we propose a novel improvement to the existing 2D feature techniques to enable automatic 3D alignment between two widely separated scans. The key idea consists of extracting dominant planar structures from 3D point clouds and then utilizing the recovered 3D geometry to improve the performance of 2D image feature for wide baseline matching. The resulting feature descriptors become more robust to camera viewpoint changes after the procedure of viewpoint normalization. Moreover, the viewpoint normalized 2D features provide robust local feature information including patch scale and dominant orientation for effective repetitive structure matching in man-made environments. Comprehensive experimental evaluations with real data demonstrate the potential of the proposed method for automatic wide baseline 3D scan alignment in urban environments. Numéro de notice : A2011-518 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2011.09.004 En ligne : https://doi.org/10.1016/j.isprsjprs.2011.09.004 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31412
in ISPRS Journal of photogrammetry and remote sensing > vol 66 n° 6 supplement (December 2011) . - pp 52 - 61[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-2011071 SL Revue Centre de documentation Revues en salle Disponible Recognizing basic structures from mobile laser scanning data for road inventory studies / Shi Pu in ISPRS Journal of photogrammetry and remote sensing, vol 66 n° 6 supplement (December 2011)
[article]
Titre : Recognizing basic structures from mobile laser scanning data for road inventory studies Type de document : Article/Communication Auteurs : Shi Pu, Auteur ; Martin Rutzinger, Auteur ; M. George Vosselman, Auteur ; Sander J. Oude Elberink, Auteur Année de publication : 2011 Article en page(s) : pp 28 - 39 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] classification ascendante hiérarchique
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] reconnaissance de formes
[Termes IGN] réseau routier
[Termes IGN] semis de points
[Termes IGN] zone urbaine denseRésumé : (Auteur) Road safety inspection is currently carried out by time-consuming visual inspection. The latest mobile mapping systems provide an efficient technique for acquiring very dense point clouds along road corridors, so that automated procedures for recognizing and extracting structures can be developed. This paper presents a framework for structure recognition from mobile laser scanned point clouds. It starts with an initial rough classification into three larger categories: ground surface, objects on ground, and objects off ground. Based on a collection of characteristics of point cloud segments like size, shape, orientation and topological relationships, the objects on ground are assigned to more detailed classes such as traffic signs, trees, building walls and barriers. Two mobile laser scanning data sets acquired by different systems are tested with the recognition methods. Performance analyses of the test results are provided to demonstrate the applicability and limits of the methods. While poles are recognized for up to 86%, classification into further categories requires further work and integration with imagery. Numéro de notice : A2011-516 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2011.08.006 En ligne : https://doi.org/10.1016/j.isprsjprs.2011.08.006 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31410
in ISPRS Journal of photogrammetry and remote sensing > vol 66 n° 6 supplement (December 2011) . - pp 28 - 39[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-2011071 SL Revue Centre de documentation Revues en salle Disponible Multi-view dense matching supported by triangular meshes / D. Butalov in ISPRS Journal of photogrammetry and remote sensing, vol 66 n° 6 (November 2011)PermalinkUsing snakes for the registration of topographic road database objects to ALS features / J. Göpfert in ISPRS Journal of photogrammetry and remote sensing, vol 66 n° 6 (November 2011)PermalinkCultural heritage data acquisition and processing: a report on the ISPRS York 2011 conference / Gordon Petrie in Geoinformatics, vol 14 n° 7 (01/10/2011)PermalinkRiding the rails (2) / N. 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Martinez in Photogrammetric Engineering & Remote Sensing, PERS, vol 77 n° 8 (August 2011)PermalinkPostGIS : vers la version 2.0 / Anonyme in Géomatique expert, n° 81 (01/07/2011)PermalinkAuscultation tridimensionnelle d'ouvrages d'art / P. 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