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In-flight geometric calibration of different cameras of IRS-P6 using a physical sensor model / P. Radhadevi in Photogrammetric record, vol 23 n° 121 (March - May 2008)
[article]
Titre : In-flight geometric calibration of different cameras of IRS-P6 using a physical sensor model Type de document : Article/Communication Auteurs : P. Radhadevi, Auteur ; S. Solanki, Auteur Année de publication : 2008 Article en page(s) : pp 69 - 89 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s)
[Termes IGN] chambre DTC
[Termes IGN] étalonnage de capteur (imagerie)
[Termes IGN] étalonnage en vol
[Termes IGN] étalonnage géométrique
[Termes IGN] image IRS
[Termes IGN] modèle géométrique de prise de vue
[Termes IGN] qualité d'image
[Termes IGN] superposition d'images
[Termes IGN] transformation géométriqueRésumé : (Auteur) Le satellite IRS-P6 rassemble sur une même plate-forme des capacités de saisies multirésolutions et multibandes. L'un des problèmes du traitement des données d'IRS-P6 propre à ce satellite tient aux importantes variations de résolution et d'angles de prises de vues des différents capteurs dont il faut pouvoir localiser et superposer les données-images de façon continue et autonome. Cela impose l'étalonnage géométrique en vol des caméras. Cet étalonnage porte sur l'alignement de chaque capteur et sur l'étalonnage des capteurs entre eux. On présente dans cet article une méthode pour l'étalonnage géométrique en vol et l'évaluation de la qualité des images d'IRS-P6. On a cherché dans cette méthode à s'assurer les meilleures précisions absolues et relatives dans la localisation des différentes caméras, tout en conservant ces précisions dans la superposition des diverses bandes spectrales, quel que soit le choix des modes de prises de vues. On y parvient en utilisant un modèle géométrique de prise de vues tenant compte des données fournies sur l'attitude et les éphémérides, de la géométrie exacte des caméras, et d'un modèle de transformation. Dans ce modèle, on formule explicitement et rigoureusement les transformations directes et inverses entre les systèmes de coordonnées basées sur le plan focal, le mode de prise de vues, la plate-forme, l'orbite et le terrain. Les essais effectués au niveau du système par des comparaisons sur des points de vérification au sol ont validé la qualité opérationnelle de la précision de localisation et la stabilité des paramètres d'étalonnage. Copyright RS&PS + Blackwell Publishing Numéro de notice : A2008-128 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1111/j.1477-9730.2007.00453.x En ligne : https://onlinelibrary.wiley.com/doi/10.1111/j.1477-9730.2007.00453.x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29123
in Photogrammetric record > vol 23 n° 121 (March - May 2008) . - pp 69 - 89[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 106-08011 RAB Revue Centre de documentation En réserve L003 Disponible A method to test differences between additional parameter sets with a case study in terrestrial laser scanner self-calibration stability analysis / Derek D. Lichti in ISPRS Journal of photogrammetry and remote sensing, vol 63 n° 2 (March - April 2008)
[article]
Titre : A method to test differences between additional parameter sets with a case study in terrestrial laser scanner self-calibration stability analysis Type de document : Article/Communication Auteurs : Derek D. Lichti, Auteur Année de publication : 2008 Article en page(s) : pp 169 - 180 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s)
[Termes IGN] auto-étalonnage
[Termes IGN] compensation par faisceaux
[Termes IGN] erreur systématique
[Termes IGN] orientation du capteur
[Termes IGN] point d'appui
[Termes IGN] reconstruction d'objet
[Termes IGN] stabilité
[Termes IGN] télémètre laser à balayage
[Termes IGN] télémètre laser terrestre
[Termes IGN] test statistiqueRésumé : (Auteur) This paper presents a new method for quantitatively assessing the impact and therefore the significance of differences between sets of additional parameters used to model systematic sensor errors. Focusing on bundle reconstruction at the sensor, simulation-based techniques have recently been proposed as superior methods to standard parameter-space hypothesis testing. This paper experimentally demonstrates the shortcoming of this approach and proposes an improved method that tests the effect of additional parameter differences on object reconstruction, which is generally of primary interest in photogrammetry. Additionally, the arbitrariness in selecting only one or two object space configurations is overcome with the new method by simulating a large number of randomly-generated but realistic control point networks for sensor orientation and a dense grid of points for object reconstruction. The experimental subject of the paper is a Faro 880 terrestrial laser scanner for which 10 sets of calibration parameters have been captured over a 13-month period. While standard parameter-space hypothesis testing indicates the instrument is not stable over this time, the new procedure shows that this is not true in all instances. Copyright ISPRS Numéro de notice : A2008-114 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2007.08.001 En ligne : https://doi.org/10.1016/j.isprsjprs.2007.08.001 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29109
in ISPRS Journal of photogrammetry and remote sensing > vol 63 n° 2 (March - April 2008) . - pp 169 - 180[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-08021 SL Revue Centre de documentation Revues en salle Disponible
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Titre : GIS Development Type de document : Périodique Editeur : Noida : GIS development Année de publication : 2008 Importance : 66 p. Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s)
[Termes IGN] capteur spatial
[Termes IGN] image à haute résolution
[Termes IGN] image spatiale
[Termes IGN] satellite d'observation de la TerreNuméro de notice : 166-0801 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Numéro de périodique En ligne : http://www.geospatialworld.net/magazine/viewEdition.aspx?magid=211 Format de la ressource électronique : URL sommaire Permalink : https://documentation.ensg.eu/index.php?lvl=bulletin_display&id=18236 [n° ou bulletin]ContientRéservation
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Code-barres Cote Support Localisation Section Disponibilité 166-08011 RAB Revue Centre de documentation En réserve L003 Disponible
Titre : Calibration of a terrestrial laser scanner for engineering geodesy Type de document : Thèse/HDR Auteurs : Thorsten Schulz, Auteur Editeur : Zurich : Institut für Geodäsie und Photogrammetrie IGP - ETH Année de publication : 2008 Collection : IGP Mitteilungen, ISSN 0252-9335 num. 96 Importance : 158 p. Format : 21 x 30 cm ISBN/ISSN/EAN : 978-3-906467-71-9 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s)
[Termes IGN] angle d'incidence
[Termes IGN] balayage laser
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] erreur instrumentale
[Termes IGN] étalonnage d'instrument
[Termes IGN] semis de points
[Termes IGN] télémètre laser terrestre
[Termes IGN] traitement automatique de donnéesIndex. décimale : 35.10 Acquisition d'images Résumé : (Auteur) For several years now, terrestrial laser scanning has become an additional surveying technique in geodesy. Recent developments have improved several aspects of terrestrial laser scanners, e.g. the data acquisition rate, accuracy, and range. Since such instruments are relatively new and constructed by manufacturers who do not have advanced experience in surveying instruments, investigations are needed to assess the quality of the instrumental characteristics and the acquired data. In this way, manufacturers will understand the needs of geodesists and in turn enable geodesists to provide the necessary support in the development of improvements. This thesis has three objectives, the calibration and investigation of a terrestrial laser scanner, the post-processing of point clouds acquired by laser scanners, and applications of terrestrial laser scanning.
The first objective is a comprehensive calibration and investigation of a specific laser scanner, the Imager 5003 of Zoller+Frohlich GmbH (Germany). The investigation and calibration procedures shall give a general impulse for all users of terrestrial laser scanning regarding instrumental and non-instrumental errors, the assessment of the quality of distance and angle measurements, and the influencing parameters. Laser scanners are a black box instrument that produces a huge number of 3D points in the form of a point cloud in a short time. However, it is the surveyor, who has to assess the reliability and quality of the resulting data. Therefore, the potential and the limitations of laser scanner systems must be identified. This is particularly important when a distance measurement is influenced by several parameters that can bias the data. Since laser scanning is an active surveying method, mostly independent of lighting conditions, distance measurements do not require prisms. Thus, surveying of almost every object is conceivable.
The second objective involves post-processing of the point clouds. Terrestrial laser scanning consists not only of data acquisition, but also processing of the acquired 3D data, which include an intensity value of the reflected laser beam. The point clouds define the objects and the data contains nearly all the information about the objects due to the high sampling interval of laser scanners. To produce the final result, data processing needs to be completed and this can be quiet involving, e.g. registration, data filtering, noise reduction, triangulation, and modeling. The ratio between post-processing and data acquisition can be 10:1 or greater, which means ten (or more) days of post-processing follow one day of data acquisition. This aspect of post-processing applies for both static laser scanning and kinematic laser scanning. The only difference is that kinematic laser scanning requires an unique method of registration and geo-referencing.
The third objective examines the applications of terrestrial laser scanning. Laser scanning can be used in different fields of applications, e.g. industrial metrology, cultural heritage, reverse engineering, and engineering geodesy. Due to the increased requirements regarding accuracy engineering geodesy appears to be a challenging field. Therefore, three different applications are presented which verify the successful use of terrestrial laser scanning in engineering geodesy. The first application involves the field of urban water management. A road surface was scanned to derive catchment areas and water flow directions. The second application covers the field of engineering geology. A tunnel during and after excavation was scanned to characterize rock mass structures and to derive displacement maps of surfaces and object points. Since the first two applications are based on static laser scanning, which means the laser scanner did not change in position and orientation during scanning, the third application is a kinematic one, which means the laser scanner was in motion during scanning. Such kinematic applications are of great interest since the performance of laser scanning can be increased significantly. Tunnels and roads are especially appropriate for kinematic laser scanning. The potential of kinematic laser scanning is tested by moving the laser scanner along a track line. The quality is assessed by scanning reference points.Note de contenu : 1 Introduction
1.1 Terrestrial Laser Scanning
1.2 Motivation
1.3 Outline
2 Components of Terrestrial Laser Scanner
2.1 Distance and Reflectance Measurement System
2.1.1 Electromagnetic Waves
2.1.2 Laser
2.1.3 Direct Time-of-Flight
2.1.4 Amplitude-Modulated Continuous Wave (AMCW)
2.1.5 Frequency-Modulated Continuous Wave (FMCW)
2.1.6 Overview of Distance Measurement Techniques in Terrestrial Laser Scanners
2.1.7 Avalanche Photo Diode (APD)
2.1.8 Reflection Principles
2.1.9 Reflectance Models
2.2 Angle Measurement System
2.2.1 Incremental Encoding
2.2.2 Binary Encoding
2.3 Deflection System
2.3.1 Oscillating Mirror
2.3.2 Rotating Mirror
2.3.3 Overview of Deflection Techniques in Terrestrial Laser Scanners
3 Calibration of Terrestrial Laser Scanner
3.1 Laboratories and Tools for Calibration
3.1.1 Calibration Track Line
3.1.2 Test Field of Control Points
3.1.3 Test Field of Observation Pillars
3.1.4 Electronic Unit for Frequency Measurement
3.1.5 Calibration of Spheres
3.2 Distance Measurement System
3.2.1 Static Mode
3.2.2 Scanning Mode
3.2.3 Long-Term Stability
3.2.4 Frequency Stability
3.3 Angle Measurement System
3.3.1 Horizontal Encoder
3.3.2 Vertical Encoder
3.3.3 Angular Resolution
3.4 Instrumental Errors
3.4.1 Eccentricity of Scan Center
3.4.2 Wobble of Vertical axis
3.4.3 Error of Collimation Axis
3.4.4 Error of Horizontal Axis
3.5 Non-Instrumental Errors
3.5.1 Intensity of Laser Beam
3.5.2 Angle of Incidence
3.5.3 Surface Properties of Materials
3.6 Precision and Accuracy of Terrestrial Laser Scanner Data
3.6.1 Single Point Precision
3.6.2 Accuracy of Modeled Objects (Spheres)
4 Static Laser Scanning
4.1 Data Processing
4.1.1 Blunder Detection
4.1.2 Mixed Pixel
4.1.3 Range/Intensity Crosstalk .
4.1.4 Multipath
4.1.5 Noise Reduction
4.2 Registration
4.2.1 Target-Based Registration
4.2.2 Point Cloud Registration
4.3 Modeling and Visualization
4.3.1 Geometrical Primitives
4.3.2 Triangulation
4.3.3 NURBS
4.3.4 CAD
4.3.5 Rendering and Texture Mapping
5 Kinematic Laser Scanning
5.1 Test Trolley on Calibration Track Line
5.1.1 Relative Position and Orientation
5.1.2 Absolute Position and Orientation
5.2 Rotation Time of Rotating Mirror of Laser Scanner
5.2.1 Direct Method
5.2.2 Indirect Method
5.2.3 Discussion and Comparison
5.3 Position-Fixing Using Total Station
5.3.1 Blunder Detection and Smoothing
5.3.2 Polynomial Interpolation
5.3.3 Regression Line
5.3.4 Kalman Filtering
5.4 Synchronisation
6 Applications of Terrestrial Laser Scanning
6.1 Static Application: Road Surface Analysis
6.1.1 Introduction
6.1.2 Method.
6.1.3 Results
6.2 Static Application: Rock Engineering Applications
6.2.1 Introduction
6.2.2 Method.
6.2.3 Results
6.3 Kinematic Application: Test Tunnel
6.3.1 Introduction
6.3.2 Kinematic Model: Regression Line
6.3.3 Kinematic Model: Kalman Filter
6.3.4 Results
7 Summary
7.1 Conclusions
7.2 OutlookNuméro de notice : 13652 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Thèse étrangère En ligne : http://dx.doi.org/10.3929/ethz-a-005368245 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=62557 Réservation
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Code-barres Cote Support Localisation Section Disponibilité 13652-01 35.10 Livre Centre de documentation En réserve M-103 Disponible Coarse orientation of terrestrial laser scans in urban environments / Claus Brenner in ISPRS Journal of photogrammetry and remote sensing, vol 63 n° 1 (January - February 2008)
[article]
Titre : Coarse orientation of terrestrial laser scans in urban environments Type de document : Article/Communication Auteurs : Claus Brenner, Auteur ; C. Dold, Auteur ; N. Ripperda, Auteur Année de publication : 2008 Article en page(s) : pp 4 - 18 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s)
[Termes IGN] analyse comparative
[Termes IGN] milieu urbain
[Termes IGN] orientation du capteur
[Termes IGN] système de référence géodésique
[Termes IGN] télémètre laser terrestre
[Termes IGN] test de performanceRésumé : (Auteur) The use of terrestrial laser scanners is becoming increasingly popular. For the acquisition of larger scenes, it is usually necessary to align all scans to a common reference frame. While there are methods using direct measurement of the orientation, due to simplicity and costs, mostly artificial targets are used. This works reliably, but usually adds a substantial amount of time to the acquisition process. Methods to align scans using the scan data itself have been known for a long time, however, being iterative, they need good initial values. In this paper, we investigate two different methods targeted at the determination of suitable initial values. The first one is based on a symbolic approach, using corresponding features to compute the orientation. The second one is based on an iterative alignment scheme originally proposed in the robotics domain. To assess the performance of both methods, a set of 20 scans has been acquired systematically along a trajectory in a downtown area. Reference orientations were obtained by a standard procedure using artificial targets. We present the results of both methods regarding convergence and accuracy, and compare their performance. Copyright ISPRS Numéro de notice : A2008-038 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2007.05.002 En ligne : https://doi.org/10.1016/j.isprsjprs.2007.05.002 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29033
in ISPRS Journal of photogrammetry and remote sensing > vol 63 n° 1 (January - February 2008) . - pp 4 - 18[article]Réservation
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