Descripteur
Termes IGN > sciences naturelles > physique > traitement d'image > acquisition d'images
acquisition d'imagesVoir aussi |
Documents disponibles dans cette catégorie (1180)
Ajouter le résultat dans votre panier
Visionner les documents numériques
Affiner la recherche Interroger des sources externes
Etendre la recherche sur niveau(x) vers le bas
Automatde co-registration of images from multiple bands of LISS-4 camera / P. Radhadevi in ISPRS Journal of photogrammetry and remote sensing, vol 64 n° 1 (January - February 2009)
[article]
Titre : Automatde co-registration of images from multiple bands of LISS-4 camera Type de document : Article/Communication Auteurs : P. Radhadevi, Auteur ; S. Solanki, Auteur ; V. Nagasubramanian, Auteur ; et al., Auteur Année de publication : 2009 Article en page(s) : pp 17 - 26 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] acquisition d'images
[Termes IGN] angle de visée
[Termes IGN] colinéarité
[Termes IGN] géoréférencement direct
[Termes IGN] image IRS-LISS
[Termes IGN] image multibande
[Termes IGN] modèle numérique de terrain
[Termes IGN] superposition d'images
[Termes IGN] trajectographie (positionnement)Résumé : (Auteur) Three multi-spectral bands of the Liss-4 camera of IRS-P6 satellite are physically separated in the focal plane in the along-track direction. The time separation of 2.1 s between the acquisition of first and last bands causes scan lines acquired by different bands to lie along different lines on the ground which are not parallel. Therefore, the raw images of multi-spectral bands need to be registered prior to any simple application like data visualization. This paper describes a method for co-registration of multiple bands of Liss-4 camera through photogrammetric means using the collinearity equations. A trajectory fit using the given ephemeris and attitude data, followed by direct georeferencing is being employed in this model. It is also augmented with a public domain DEM for the terrain dependent input to the model. Finer offsets after the application of this parametric technique are addressed by matching a small subsection of the bands (100*100 pixels) using an image-based method. Resampling is done by going back to original raw data when creating the product after refining image coordinates with the offsets. Two types of aligned products are defined in this paper and their operational flow is described. Datasets covering different types of terrain and also viewed with different geometries are studied with extensive number of points. The band-to-band registration (BBR) accuracies are reported. The algorithm described in this paper for co-registration of Liss-4 bands is an integral part of the software package Value Added Products generation System (VAPS) for operational generation of IRS-P6 data products. Copyright ISPRS Numéro de notice : A2009-027 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2008.06.003 En ligne : https://doi.org/10.1016/j.isprsjprs.2008.06.003 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29657
in ISPRS Journal of photogrammetry and remote sensing > vol 64 n° 1 (January - February 2009) . - pp 17 - 26[article]Réservation
Réserver ce documentExemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 081-09011 SL Revue Centre de documentation Revues en salle Disponible Bundle adjustment and pose estimation of images of a multiframe panoramic camera / Bertrand Cannelle (2009)
Titre : Bundle adjustment and pose estimation of images of a multiframe panoramic camera Type de document : Article/Communication Auteurs : Bertrand Cannelle , Auteur ; Daniela Craciun , Auteur ; Didier Boldo , Auteur ; Nicolas Paparoditis , Auteur Editeur : Saint-Mandé : Institut Géographique National - IGN (2008-2011) Année de publication : 2009 Conférence : O3DMT 2009, 9th Optical 3-D Measurement Techniques Conference 01/07/2009 03/07/2009 Vienne Autriche Importance : 6 p. Format : 21 x 30 cm Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] appariement d'images
[Termes IGN] compensation par faisceaux
[Termes IGN] image panoramique
[Termes IGN] image terrestre
[Termes IGN] orientation d'image
[Termes IGN] orientation relative
[Termes IGN] photothéodolite
[Termes IGN] SIFT (algorithme)
[Termes IGN] StéréopolisRésumé : (Auteur) The STEREOPOLIS mobile mapping system, developed in the MATIS laboratory of IGN for city modelling and multimedia applications, integrates a panoramic head composed of 10 full HD cameras very accurately synchronised. For each pose, a panoramic image is generated from the set of corresponding but poorly overlapping images. In this paper, we evaluate the performance of a three-step method developed in Craciun that computes the relative pose between the different frame camera images composing the panoramic frame. A phototheodolite, i.e. a theodolite coupled with a digital camera, is used to construct a reference data set with a ground truth which is sufficiently accurate (to some extent) to evaluate by comparison the results of our pose estimation process. We present the different steps to compute, then we present the algorithm which is used as well as mathematic concept and finally results are commented the results of our pose estimation process will also be compared with an off-the-shelf high quality software using SIFT-based corresponding points and bundle adjustment, i.e. Autopano. Numéro de notice : 13847 Affiliation des auteurs : MATIS (1993-2011) Thématique : IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=64283 Documents numériques
en open access
13847_commu_optical3d2009_cannelle_et_al.pdfAdobe Acrobat PDF Digital photogrammetry / W. Linder (2009)
Titre : Digital photogrammetry : a practical course Type de document : Guide/Manuel Auteurs : W. Linder, Auteur Mention d'édition : 3 Editeur : Berlin, Heidelberg, Vienne, New York, ... : Springer Année de publication : 2009 Importance : 220 p. Format : 16 x 24 cm + 1 paire de lunettes + 1 cederom ISBN/ISSN/EAN : 978-3-540-92724-2 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique
[Termes IGN] aérotriangulation
[Termes IGN] compensation par bloc
[Termes IGN] limite de résolution géométrique
[Termes IGN] limite de résolution radiométrique
[Termes IGN] modèle numérique de terrain
[Termes IGN] mosaïque d'images
[Termes IGN] orientation interne
[Termes IGN] orthoimage
[Termes IGN] photogrammétrie métrologiqueIndex. décimale : 33.30 Photogrammétrie numérique Résumé : (Editeur) The third edition is an "all-in-one" combination of basic theory and practical exercises. Potential readers/users are students of Photogrammetry, Geodesy, Geography and other sciences, but also all who are interested in this topic. No prior knowledge is necessary, except the handling of standard PCs. Theory is presented true to the motto "as little as possible, but as much as necessary". The main part of the book contains several tutorials. In increasing complexity, accompanied by texts explaining further theory, the reader can proceed step by step through the particular working parts. All intermediate as well as the final results are discussed with reference to accuracy and error handling. Most of the standard work in Digital Photogrammetry is shown and trained for example scanning, image orientation, mono and stereo plotting, aerial triangulation measurement (manual and automatic), block adjustment, automatic creation of surface models via image matching, creation of ortho images and mosaics, and others. Not only standard situations are dealt with but also more complex ones, such as unknown camera data, extreme relief or areas with very low contrast. Examples of both aerial and close-range photogrammetry present the power of these type of measurement techniques. The software is not limited to the example data included but may be used for personal projects. Part of the book comprises a complete description of the software. Note de contenu : 1 Introduction
1.1 Basic idea and main task of photogrammetry
1.2 Why photogrammetry ?
1.3 Image sources: Analogue and digital cameras
1.4 Digital consumer cameras
1.5 Short history of photogrammetric evaluation methods
1.6 Geometric principles 1: Camera position, focal length
1.7 Geometric principles 2: Image orientation
1.8 Geometric principles 3: Relative camera positions (stereo)
1.9 Some definitions
1.10 Length and angle units
1.11 A typical workflow in photogrammetry
2 Included software and data
2.1 Hardware requirements, operating system
2.2 Image material
2.3 Overview of the software
2.4 Installation
2.5 Additional programmes, copyright, data
2.6 General remarks
2.7 Software versions, support
3 Scanning of photos
3.1 Scanner types
3.2 Geometric resolution
3.3 Radiometric resolution
3.4 Some practical advice
3.5 Import of the scanned images
4 Example 1: A single model
4.1 Project definition
4.2 Orientation of the images
4.3 Model definition
4.4 Stereoscopic viewing
4.5 Measurement of object co-ordinates
4.6 Creation of DTMs via image matching
4.7 Ortho images
5 Example 2: Aerial triangulation
5.1 Aerial triangulation measurement (ATM)
5.2 Block adjustment with BLUH
5.3 Mosaics of DTMs and ortho images
6 Example 3: Some special cases
6.1 Scanning aerial photos with an A4 scanner
6.2 Interior orientation without camera parameters
6.3 Images from a digital camera
6.4 An example of close-range photogrammetry
6.5 Some remarks about lens distortion
6.6 Stereo images from satellites
6.7 Stereo images from flatbed scanners
6.8 A view into the future: Photogrammetry in 2020
7 Programme description
7.1 Some definitions
7.2 Basic functions
7.3 Aims and limits of the programme
7.4 Operating the programme
7.5 Buttons in the graphics windows
7.6 File handling
7.7 Pre programmes
7.8 Aerial triangulation measurement (ATM)
7.9 Processing
7.10 Display
7.11 Aerial triangulation with BLUHNuméro de notice : 20593 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Manuel Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=46832 Réservation
Réserver ce documentExemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 20593-01 33.30 Livre Centre de documentation Photogrammétrie - Lasergrammétrie Disponible La photomodélisation architecturale / Livio de Luca (2009)
Titre : La photomodélisation architecturale : relevé, modélisation, représentation d'édifices à partir de photographies Type de document : Guide/Manuel Auteurs : Livio de Luca, Auteur Editeur : Paris : Eyrolles Année de publication : 2009 Importance : 263 p. Format : 17 x 23 cm ISBN/ISSN/EAN : 978-2-212-12524-5 Note générale : Bibliographie Langues : Français (fre) Descripteur : [Vedettes matières IGN] Photogrammétrie terrestre
[Termes IGN] bâtiment
[Termes IGN] étalonnage d'instrument
[Termes IGN] image panoramique
[Termes IGN] modélisation 3D
[Termes IGN] orientation du capteur
[Termes IGN] photogrammétrie architecturale
[Termes IGN] prise de vue terrestre
[Termes IGN] reconstruction 3D du bâtiIndex. décimale : 33.70 Photogrammétrie terrestre Résumé : (Editeur) De nombreux pays s'intéressent à la numérisation 3D de leur patrimoine architectural, ce qui permettrait aux institutions concernées (monuments historiques, musées, sites archéologiques, etc.) de l'archiver et de le valoriser Répondant à ces besoins, la photomodélisation est une technique capable de reconstruire en trois dimensions des scènes réelles à partir de photographies ; appliquée à l'architecture, elle constitue une solution adaptée pour documenter l'état actuel des bâtiments historiques, fournir des ressources aux chercheurs, et élaborer des supports de diffusion auprès du grand public. Traitant aussi bien des aspects théoriques et méthodologiques que des applications pratiques, cet ouvrage très richement illustré explique comment concevoir des représentations 2D et 3D d'édifices à partir de simples images. Il est complété par trois études de cas (villa Savoye de Le Corbusier, hôtel de Béthune-Sully, chapelle des fresques de la chartreuse de Villeneuve-lez-Avignon), qui font appel aux logiciels ImageModeler, Stitcher et AutoCAD d'Autodesk, et par un portail web comprenant images, vidéos, tutoriels et maquettes 3D temps réel. Cet ouvrage s'adresse aussi bien aux professionnels du domaine de la conservation et de la valorisation du patrimoine (architectes, conservateurs, géomètres, archéologues...) qu'aux étudiants en architecture, ingénierie ou histoire. Note de contenu : PARTIE 1 - Théorie et méthodologie
Chapitre 1 : Introduction à la photomodélisation architecturale
Chapitre 2 : La prise de vue photographique
Chapitre 3 : Calibration et orientation des caméras
Chapitre 4 : Prise de mesures et restitution bidimensionnelle
Chapitre 5 : La reconstruction géométrique 3D
Chapitre 6 : La représentation basée sur l'image
Chapitre 7 : Autres applications
PARTIE 2 - Trois cas d'étude
Cas d'étude n° 1 - Mesures et dessin d'une façade
Cas d'étude n° 2 - Modélisation 3D d'un édifice "tel que construit"
Cas d'étude n° 3 - Reconstruction photoréaliste d'un intérieur
ANNEXES
Bibliographie
Index des édifices figurant dans l'ouvrageNuméro de notice : 20671 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Manuel Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=63115 Réservation
Réserver ce documentExemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 20671-01 33.70 Livre Centre de documentation Photogrammétrie - Lasergrammétrie Disponible Sensor modelling and validation for linear array aerial and satellite imagery / Sultan Aksakal Kocaman (2009)
Titre : Sensor modelling and validation for linear array aerial and satellite imagery Type de document : Thèse/HDR Auteurs : Sultan Aksakal Kocaman, Auteur ; Armin W. Gruen, Directeur de thèse ; Christian Heipke, Directeur de thèse Editeur : Zurich : Institut für Geodäsie und Photogrammetrie IGP - ETH Année de publication : 2009 Collection : IGP Mitteilungen, ISSN 0252-9335 num. 106 Importance : 166 p. Format : 21 x 30 cm ISBN/ISSN/EAN : 978-3-906467-88-7 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s)
[Termes IGN] ADS40
[Termes IGN] capteur aérien
[Termes IGN] capteur en peigne
[Termes IGN] capteur linéaire
[Termes IGN] capteur optique
[Termes IGN] capteur spatial
[Termes IGN] compensation par faisceaux
[Termes IGN] détecteur à transfert de charge
[Termes IGN] étalonnage de capteur (imagerie)
[Termes IGN] image ALOS-PRISM
[Termes IGN] modèle géométrique de prise de vue
[Termes IGN] modélisation géométrique de prise de vue
[Termes IGN] orientation du capteur
[Termes IGN] Panchromatic Remote Sensing Instrument for Stereo Mapping
[Termes IGN] pouvoir de résolution géométriqueIndex. décimale : 35.13 Prises de vues par capteurs spatiaux Résumé : (Auteur) The Linear Array CCD technology is widely used in the new generation aerial photogrammetric sensors and also in the high-resolution satellite optical sensors. In comparison to the Matrix (frame/area) Array sensors, the Linear Array CCD sensors have smaller number of detectors to cover the same swath width. In addition, the flexibility is higher in the physical sensor design. The conventional film cameras used in aerial photogrammetry are manufactured in frame format. The first remote sensing sensors for Earth observation employed film cameras as well. The recent sensor technologies of the optical remote sensing satellites are replaced with the Linear Array CCDs. In case of the aerial photogrammetric sensors, medium and small format aerial cameras are produced only in the frame format. The development in large format cameras is twofold. The Linear Array CCD and Matrix Array CCD sensors have been present in the industry since the year 2000.
Due to the geometric differences between the Linear Array cameras and the frame cameras, the conventional photogrammetric procedures for the geometric processing of the Linear Array CCD images should be redefined or newly developed. The trajectory modeling is one of the main concepts, which entered into the field of photogrammetry with the aerial and satellite pushbroom sensors. The modified collinearity equations are extended with mathematical functions to model the image trajectory in the bundle adjustment. This study encompasses the triangulation of Linear Array CCD images with the use of different trajectory models. The self-calibration models are partially adapted from the frame sensors in accordance with the physical structures of the Linear Array CCD sensors.
In general, the triangulation and self-calibration of the aerial and the satellite Linear Array CCD images show similarities in terms of trajectory modeling and the physical definitions of the additional parameters. The main difference is in the number unknown parameters defined in the bundle adjustment, which is calculated as a function of the number of lenses, the trajectory model configuration, and the number of Linear Array CCDs used in the sensor. Therefore, similar sensor modeling and calibration approaches are applied in this study, with necessary adjustments for each system.
In order to obtain high accuracy point positioning, high quality image trajectory measurement is crucial. The given trajectory can be modeled in the adjustment by using constant and linear correction parameters, as well as higher order polynomials. This study investigates the three different trajectory models with three different mathematical approaches. Two of the models are investigated at different levels of sophistication by altering the model parameters.
Two different aerial Linear Array CCD sensors, the STARIMAGER of former Starlabo Corporation, Japan, and the ADS40 sensor of the Leica Geosystems, Heerbrugg, are used for the practical investigations. The PRISM (Panchromatic Remote-sensing Instrument for Stereo Mapping) onboard of Japanese ALOS satellite launched by JAXA (Japan Aerospace Exploration Agency) in 2006 is the satellite Linear Array CCD sensor used for the application parts of this study. The two aerial Linear Array CCD sensors work with the TLS (Three-Line-Scanner) principle. Three or more Linear Array CCDs are located in the focal plane of a single lens with different viewing angles providing stereo capability. The PRISM sensor differs in the optical design with three camera heads, each associated with a different viewing angle.
Due to the design differences between the sensors, two sets of additional 'parameters for self-calibration are applied in this study. The aerial TLS sensors share the same set of additional parameters due to similar interior geometries of the sensors. The self-calibration of the PRISM sensor uses a different set due to multiple lenses and also multiple CCD chips used to form each image line.
The sensor orientation and calibration methods presented in this study are validated using a number of application datasets. The image datasets of the three sensors are acquired over specially established testfields. Triangulation results prove the importance of high quality trajectory measurements for accurate sensor orientation. When the given image trajectory has a low quality, a sophisticated trajectory model should be used together with a high number of ground control points.
This study also shows that, despite their weaker sensor geometry, the Linear Array CCD sensors have reached the accuracy potential of the conventional frame imagery for point determination. In addition, similar to the conventional film sensors, self-calibration has proven as a powerful tool for modeling the systematic errors of the Linear Array CCD imagery, albeit the method should be applied with a great care.Note de contenu : 1 Introduction
1.1 Research Objectives
1.2 Review of Digital Optical Sensors
1.2.1 Point-based Sensors
1.2.2 Linear Array CCD Sensors
1.2.3 Frame Array CCD Sensors
1.3 Review of Sensor Calibration Approaches for Linear Array CCD Sensors
1.4 Review of Sensor Orientation Methods for Linear Array CCD Sensors
1.4.1 Direct vs. Indirect Georeferencing
1.4.2 Rigorous vs. Generic Models for Georeferencing
1.5 Quality Analysis and Validation for the Geometric Processing Methods
1.6 Outline
2 Characterizations of the Linear Array CCD Sensor Geometries
2.1 Optical System Specification
2.2 Line Geometry
2.3 Resolution Specification
2.3.1 Spatial Resolution
2.3.2 Radiometric Resolution
2.3.3 Spectral Resolution
2.3.4 Temporal Resolutions of Satellite Sensors
2.4 Operation Principles
2.4.1 Sensor and Platform Synchronization
2.4.2 Stereo Acquisition
2.4.3 Platform Stabilization
3 Calibration Parameters for the Linear Array CCD Sensors .
3.1 Optical System Related Parameters
3.1.1 Principal Point Displacement
3.1.2 Camera Constant
3.1.3 Lens Distortions
3.2 CCD Line Related Parameters
3.2.1 Scale effect
3.2.2 Rotation
3.2.3 Displacement from the Principal Point
3.2.4 Bending
4 Methodology for Sensor Orientation and Calibration
4.1 Preparation for Rigorous Sensor Orientation
4.1.1 Image Trajectory Extraction
4.1.2 Interior Orientation Extraction
4.1.3 Coordinate System Transformations
4.2 Rigorous Sensor Orientation
4.2.1 Modified Bundle Adjustment with Trajectory Modeling
4.2.2 Self-calibration Method
4.2.3 Weighting Scheme of the Bundle Adjustment
4.2.4 Accuracy Assessment of the Bundle Adjustment
4.2.5 Processing time
5 Applications
5.1 Starlmager Sensor
5.1.1 Applications over the Yoriichio Testfield, Japan
5.1.2 Findings and Discussion
5.2 ADS40 Sensor
5.2.1 Applications to Testfields
5.2.2 Findings and Discussion
5.3 The ALOS/PRISM Sensor
5.3.1 Introduction
5.3.2 Applications to Testfields
5.3.3 Findings and Discussion
6 Conclusions and Outlook
6.1 Summary
6.2 Conclusions
6.3 Recommendations for Future WorkNuméro de notice : 15509 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Thèse étrangère En ligne : http://dx.doi.org/10.3929/ethz-a-005780510 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=62742 Réservation
Réserver ce documentExemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 15509-01 35.13 Livre Centre de documentation En réserve M-103 Disponible PermalinkDMC geometry analysis and virtual image characterisation / R. Alamus in Photogrammetric record, vol 23 n° 124 (December 2008 - February 2009)PermalinkInspection des ouvrages d'art par drone : bilan et perspectives des travaux du LCPC / F. Derkx in Bulletin des Laboratoires des Ponts et Chaussées, BLPC, n° 273 (décembre 2008)PermalinkLine features between object space and image space / Jen-Jer Jaw in Photogrammetric Engineering & Remote Sensing, PERS, vol 74 n° 12 (December 2008)PermalinkPhotogrammétrie et vision par ordinateur / Mahzad Kalantari in XYZ, n° 117 (décembre 2008 - février 2009)PermalinkFrom imagery to map: digital photogrammetric technologies, a report on the Croatia 2008 conference / Gordon Petrie in Geoinformatics, vol 11 n° 7 (01/11/2008)PermalinkAdvanced studies in strip pair processing of Cartosat-1 data / P.K. Srivastava in Photogrammetric record, vol 23 n° 123 (September - November 2008)PermalinkAnalysis of Cartosat-1 images regarding image quality, 3D point measurement and DSM generation / Emmanuel P. Baltsavias in Photogrammetric record, vol 23 n° 123 (September - November 2008)PermalinkDevelopment and testing of a generic sensor model for pushbroom satellite imagery / T. Weser in Photogrammetric record, vol 23 n° 123 (September - November 2008)PermalinkHigh resolution elevation data derived from stereoscopic CORONA imagery ground control: an approach using IKONOS and SRTM data / Nikolaos Galiatsatos in Photogrammetric Engineering & Remote Sensing, PERS, vol 74 n° 9 (September 2008)Permalink