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Auscultation de l'état de surface de revêtements routiers par photogrammétrie automatisée / Gildas Allaz in Géomatique suisse, vol 114 n° 1 (janvier 2016)
[article]
Titre : Auscultation de l'état de surface de revêtements routiers par photogrammétrie automatisée Type de document : Article/Communication Auteurs : Gildas Allaz, Auteur ; Michel Kasser , Auteur Année de publication : 2016 Article en page(s) : pp 11 - 15 Langues : Français (fre) Allemand (ger) Italien (ita) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] aérotriangulation
[Termes IGN] ArcGIS
[Termes IGN] caméra numérique
[Termes IGN] chaussée
[Termes IGN] état de surface
[Termes IGN] interopérabilité
[Termes IGN] modèle numérique de surface
[Termes IGN] orthophotographie
[Termes IGN] outil d'aide à la décision
[Termes IGN] photogrammétrie numérique
[Termes IGN] précision millimétrique
[Termes IGN] routeRésumé : (Auteur) Les développements récents en matière de photogrammétrie permettent d'établir une méthodologie automatisée de relevé de l'état de surface des chaussées. Il est maintenant non seulement possible de générer une orthophoto et un MNS mais aussi de détecter et d'évaluer les dégradations et déformations des revêtements, le tout à un coût très faible. Numéro de notice : A2016-150 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.5169/seals-587090 En ligne : http://doi.org/10.5169/seals-587090 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=80358
in Géomatique suisse > vol 114 n° 1 (janvier 2016) . - pp 11 - 15[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 136-2016011 RAB Revue Centre de documentation En réserve L003 Disponible Automatic modeling of building interiors using low-cost sensor systems / Ali Mohammad Khosravani (2016)
Titre : Automatic modeling of building interiors using low-cost sensor systems Type de document : Thèse/HDR Auteurs : Ali Mohammad Khosravani, Auteur ; Dieter Fritsch, Directeur de thèse Editeur : Munich : Bayerische Akademie der Wissenschaften Année de publication : 2016 Collection : DGK - C, ISSN 0065-5325 num. 767 Importance : 134 p. ISBN/ISSN/EAN : 978-3-7696-5179-9 Note générale : bibliographie
PhD DissertationLangues : Anglais (eng) Allemand (ger) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] caméra numérique
[Termes IGN] carte d'intérieur
[Termes IGN] espace image
[Termes IGN] espace objet
[Termes IGN] Kinect
[Termes IGN] modélisation 3D du bâti BIM
[Termes IGN] semis de pointsRésumé : (auteur) Indoor reconstruction or 3D modeling of indoor scenes aims at representing the 3D shape of building interiors in terms of surfaces and volumes, using photographs, 3D point clouds or hypotheses. Due to advances in the range measurement sensors technology and vision algorithms, and at the same time an increased demand for indoor models by many applications, this topic of research has gained growing attention during the last years. The automation of the reconstruction process is still a challenge, due to the complexity of the data collection in indoor scenes, as well as geometrical modeling of arbitrary room shapes, especially if the data is noisy or incomplete. Available reconstruction approaches rely on either some level of user interaction, or making assumptions regarding the scene, in order to deal with the challenges. The presented work aims at increasing the automation level of the reconstruction task, while making fewer assumptions regarding the room shapes, even from the data collected by low-cost sensor systems subject to a high level of noise or occlusions. This is realized by employing topological corrections that assure a consistent and robust reconstruction. This study presents an automatic workflow consisting of two main phases. In the first phase, range data is collected using the affordable and accessible sensor system, Microsoft Kinect. The range data is registered based on features observed in the image space or 3D object space. A new complementary approach is presented to support the registration task in some cases where these registration approaches fail, due to the existence of insufficient visual and geometrical features. The approach is based on the user’s track information derived from an indoor positioning method, as well as an available coarse floor plan. In the second phase, 3D models are derived with a high level of details from the registered point clouds. The data is processed in 2D space (by projecting the points onto the ground plane), and the results are converted back to 3D by an extrusion (room height available from the point height histogram analysis). Data processing and modeling in 2D does not only simplify the reconstruction problem, but also allows for topological analysis using the graph theory. The performance of the presented reconstruction approach is demonstrated for the data derived from different sensors having different accuracies, as well as different room shapes and sizes. Finally, the study shows that the reconstructed models can be used to refine available coarse indoor models which are for instance derived from architectural drawings or floor plans. The refinement is performed by the fusion of the detailed models of individual rooms (reconstructed in a higher level of details by the new approach) to the coarse model. The model fusion also enables the reconstruction of gaps in the detailed model using a new learning-based approach. Moreover, the refinement process enables the detection of changes or details in the original plans, missing due to generalization purposes, or later renovations in the building interiors. Note de contenu : 1. Introduction
1.1. Motivation
1.2. Objectives
1.3. Outline and Design of the Thesis
2. Overview of Indoor Data Collection Techniques
2.1. State-of-the-Art Sensors for 3D Data Collection
2.2. The Registration Problem
3. Data Collection using Microsoft Kinect for Xbox 360
3.1. Point Cloud Collection by Kinect
3.2. Point Clouds Registration
3.3. Kinect SWOT Analysis
4. Overview of Available Indoor Modeling Approaches
4.1. Classification of Available Modeling Approaches
4.2. Iconic Approaches
4.3. Symbolic Approaches
5. Automatic Reconstruction of Indoor Spaces
5.1. Point Cloud Pre-Processing
5.2. Reconstruction of Geometric Models
6. Experimental Results and Analysis
6.1. Kinect System Calibration and Accuracy Analysis
6.2. Evaluation of the Reconstruction Approach
6.3. Quality of the Reconstructed Models
7. Application in the Refinement of Available Coarse Floor Models
7.1. Registration of Individual Detailed Models to an Available Coarse Floor Model
7.2. Fusion of Detailed Models to the Coarse Model
8. Conclusion
8.1. Summary
8.2. Contributions
8.3. Future WorkNuméro de notice : 19789 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Thèse étrangère Note de thèse : PhD Dissertation : Photogrammetry : Stuttgart : 2016 DOI : 10.18419/opus-3988 En ligne : http://doi.org/10.18419/opus-3988 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=85007 Contient
- Study of lever-arm effect using embedded photogrammetry and on-board GPS receiver on UAV for metrological mapping purpose and proposal of a free ground measurements calibration procedure / Mehdi Daakir (2016)
- Exterior orientation of hyperspectral frame images collected with UAV for forest applications / Adilson Berveglieri (2015)
Study and development of a laser based alignment system for the compact linear collider / Guillaume Stern (2016)
Titre : Study and development of a laser based alignment system for the compact linear collider Type de document : Thèse/HDR Auteurs : Guillaume Stern, Auteur Editeur : Zurich : Schweizerischen Geodatischen Kommission / Commission Géodésique Suisse Année de publication : 2016 Autre Editeur : Zurich : Eidgenossische Technische Hochschule ETH - Ecole Polytechnique Fédérale de Zurich EPFZ Collection : Geodätisch-Geophysikalische Arbeiten in der Schweiz, ISSN 0257-1722 num. 96 Importance : 230 p. Format : 21 x 30 cm ISBN/ISSN/EAN : 978-3-908440-42-0 Note générale : bibliographie
thesis submitted to attain the degree of doctor of sciences of ETH ZurichLangues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s)
[Termes IGN] accélérateur de particules
[Termes IGN] caméra numérique
[Termes IGN] capteur actif
[Termes IGN] laser
[Termes IGN] topométrie de précisionIndex. décimale : 35.10 Acquisition d'images Résumé : (auteur) The first objective of the PhD thesis is to develop a new type of positioning sensor to align components at micrometre level over 200 m with respect to a laser beam as straight line reference. The second objective is to estimate the measurement accuracy of the total alignment system over 200 m. The context of the PhD thesis is the Compact Linear Collider project, which is a study for a future particle accelerator.
The proposed positioning sensor is made of a camera and an open/close shutter. The sensor can measure the position of the laser beam with respect to its own coordinate system. To do a measurement, the shutter closes, a laser spot appears on it, the camera captures a picture of the laser spot and the coordinates of the laser spot centre are reconstructed in the sensor coordinate system with image processing. Such a measurement requires reference targets on the positioning sensor.
To reach the first objective of the PhD thesis, we used laser theory and camera model to define an accurate image processing and we performed experiments to validate a prototype of a positioning sensor. For the second objective, we could not obtain results regarding measurement accuracy because we could not develop a full alignment system under vacuum over 200 m. However, we could estimate laser pointing stability over 200 m by extrapolating results obtained over 12 m.
As a result, we present in this report a sensor design, a calibration protocol and estimations regarding measurement uncertainty. In case of a separate calibration with theodolites, we estimated the measurement uncertainty of the positioning sensor to be 4μm for all coordinates. In case of a full auto-calibration, we estimated the measurement uncertainty of the positioning sensor to be 10μm for the radial and the vertical coordinates and 20μm for the depth coordinate. Concerning the extrapolation over long distance, we estimated laser pointing stability to be 10μm for a laser beam propagation distance of 200 m.
Our work does not provide a complete laser beam alignment system at micrometre level over 200 m but it is the first necessary step towards it.Note de contenu : 1 - Introduction
2 - Theoretical background
3 - Experiments
4 - Sensor implementation
5 - ConclusionNuméro de notice : 17460 Affiliation des auteurs : non IGN Autre URL associée : URL supplémentaire Thématique : POSITIONNEMENT Nature : Thèse étrangère Note de thèse : thèse : Sciences : ETHZ : 2016 DOI : 10.3929/ethz-a-010621412 En ligne : https://www.sgc.ethz.ch/sgc-volumes/sgk-96.pdf Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=89686 Réservation
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Code-barres Cote Support Localisation Section Disponibilité 17460-01 35.10 Livre Centre de documentation Télédétection Disponible In-orbit geometric calibration and validation of ZY-3 three-line cameras based on CCD-detector look angles / Jinshan Cao in Photogrammetric record, vol 30 n° 150 (June - August 2015)
[article]
Titre : In-orbit geometric calibration and validation of ZY-3 three-line cameras based on CCD-detector look angles Type de document : Article/Communication Auteurs : Jinshan Cao, Auteur ; Xiuxiao Yuan, Auteur ; Jianya Gong, Auteur Année de publication : 2015 Article en page(s) : pp 211 - 226 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s)
[Termes IGN] angle de visée
[Termes IGN] caméra matricielle
[Termes IGN] capteur en peigne
[Termes IGN] chambre DTC
[Termes IGN] étalonnage de capteur (imagerie)
[Termes IGN] étalonnage en vol
[Termes IGN] étalonnage géométrique
[Termes IGN] géoréférencement direct
[Termes IGN] image ZiYuan-3
[Termes IGN] précision du positionnementRésumé : (Auteur) A simple and feasible orientation method for the three-line cameras of the ZiYuan-3 (ZY-3) satellite is introduced. The method calibrates the CCD-detector look angles in the attitude determination reference (ADR) coordinate system rather than modifying the laboratory-calibrated orientation parameters, which are not necessary for the geometric calibration. Additionally, the unknown parameters of the model are virtually uncorrelated. Experimental results show that the direct georeferencing accuracy of ZY-3 nadir images have been improved from the kilometre level to better than 9 m in planimetry, and that of the forward-and-backward stereopair was also raised to better than 18 m in plan and 4 m in height. After a bundle adjustment using four ground control points, a higher accuracy of about 3·4 m in plan and 1·6 m in height was achieved. Numéro de notice : A2015-367 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1111/phor.12101 Date de publication en ligne : 16/04/2015 En ligne : https://doi.org/10.1111/phor.12101 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=76909
in Photogrammetric record > vol 30 n° 150 (June - August 2015) . - pp 211 - 226[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 106-2015021 RAB Revue Centre de documentation En réserve L003 Disponible Spatial analysis of high-resolution urban thermal patterns in Vojvodina, Serbia / Dusan Jovanovic in Geocarto international, vol 30 n° 5 - 6 (May - July 2015)PermalinkQuand les chercheurs s'intéressent aux drones / Françoise de Blomac in DécryptaGéo le mag, n° 166 (avril 2015)PermalinkAccuracy analysis of a dual camera system with an asymmetric photogrammetric configuration / Bo Wu in Photogrammetric Engineering & Remote Sensing, PERS, vol 81 n° 3 (March 2015)PermalinkIn-flight photogrammetric camera calibration and validation via complementary lidar / A.S. Gneeniss in ISPRS Journal of photogrammetry and remote sensing, vol 100 (February 2015)PermalinkEvaluation de la technologie des caméras 3D (Kinect 2) pour la mesure et la reconstruction d’objets à courte portée / Elise Lachat (2015)PermalinkFurther adventures in aviation / Lewis Graham in GEO: Geoconnexion international, vol 14 n° 1 (January 2015)PermalinkRegistration and visualisation of deformation maps from terrestrial radar interferometry using photogrammetry and structure from motion / Rafael Caduff in Photogrammetric record, vol 29 n° 146 (June - August 2014)PermalinkAutomated geometric correction of multispectral images from high resolution CCD Camera (HRCC) on-board CBERS-2 and CBERS-2B / Chabitha Devarj in ISPRS Journal of photogrammetry and remote sensing, vol 89 (March 2014)PermalinkGeometric analysis and self-calibration of ADS40 imagery / Sara Gonzalez in Photogrammetric record, vol 28 n° 142 (June - August 2013)PermalinkAutomatic camera calibration in close range photogrammetry / Clive Simpson Fraser in Photogrammetric Engineering & Remote Sensing, PERS, vol 79 n° 4 (April 2013)Permalink