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Synchronization of Image Sequences: a photogrammetric method / K. Raguse in Photogrammetric Engineering & Remote Sensing, PERS, vol 75 n° 5 (May 2009)
[article]
Titre : Synchronization of Image Sequences: a photogrammetric method Type de document : Article/Communication Auteurs : K. Raguse, Auteur ; Christian Heipke, Auteur Année de publication : 2009 Article en page(s) : pp 535 - 546 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] compensation par faisceaux
[Termes IGN] espace objet
[Termes IGN] image spatiale
[Termes IGN] interpolation
[Termes IGN] point d'appui
[Termes IGN] points homologues
[Termes IGN] séquence d'images
[Termes IGN] synchronisation
[Termes IGN] traitement d'imageRésumé : (Auteur) The three-dimensional photogrammetric analysis of image sequences is a growing field of application. For the analysis of dynamic processes one important precondition has to be guaranteed: All cameras have to be synchronized, otherwise the results are affected by asynchronism. In this article a new method is presented, which can determine the asynchronism of an arbitrary number of image sequences. In contrast to already existing methods, in the new approach the asynchronism is modeled in object space and then converted into an interpolation function containing a set of unknowns for each camera. In this form the asynchronism is introduced into an extended bundle adjustment, in which the unknowns are solved simultaneously with the image orientation parameters and the object coordinates of tie points. Therefore, the approach has no restrictions with regard to the number and the set-up of the cameras in the acquisition network. Furthermore, both the temporal and spatial analysis step are carried out simultaneously. We have implemented the suggested method and have run a number of experiments in the context of vehicle impact testing. First, sequences with a frame rate of 1,000 Hz observing an object with a speed of up to 7 m/s and an asynchronism of 0.8 ms were analyzed. The accuracy of the object point determination could be improved by a factor of 10. Then, five sequences of a vehicle impact test with a speed of 15.6 m/s were investigated. Here, errors in the object coordinates of up to 30 mm could be eliminated using the new approach. Given the small tolerances in car development, this improvement in point accuracy is significant. Copyright ASPRS Numéro de notice : A2009-191 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.75.5.535 En ligne : https://doi.org/10.14358/PERS.75.5.535 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29821
in Photogrammetric Engineering & Remote Sensing, PERS > vol 75 n° 5 (May 2009) . - pp 535 - 546[article]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 Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 15509-01 35.13 Livre Centre de documentation En réserve M-103 Disponible Road junction extraction from high-resolution aerial imagery / M. Ravanbakhsh in Photogrammetric record, vol 23 n° 124 (December 2008 - February 2009)
[article]
Titre : Road junction extraction from high-resolution aerial imagery Type de document : Article/Communication Auteurs : M. Ravanbakhsh, Auteur ; Christian Heipke, Auteur ; Kian Pakzad, Auteur Année de publication : 2008 Conférence : ISPRS 2007, High-Resolution Earth Imaging for Geospatial Information workshop 29/05/2007 01/06/2007 Hanovre Allemagne Article en page(s) : pp 405 - 423 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] carrefour
[Termes IGN] extraction automatique
[Termes IGN] extraction du réseau routier
[Termes IGN] image aérienne
[Termes IGN] objet géographique zonal
[Termes IGN] réseau routierRésumé : (Auteur) Road junctions are important components of a road network. However, they are usually not explicitly modelled in existing road extraction approaches. In this research, road junctions are modelled in detail as area objects and an approach is proposed for their automatic extraction through the use of an existing geospatial database. Prior knowledge derived from a topographic geospatial database is used to facilitate the extraction. A new snake-based approach is proposed that makes use of the "ziplock snake" concept and whose external force is a combination of the gradient vector flow (GVF) force and the balloon force in order to delineate the junction border. Road arm extraction results provide fixed boundary conditions for the proposed snake. The approach was tested using aerial black-and-white Digital Mapping Camera (DMC) ortho-images of 0·1 m ground resolution taken from suburban and rural areas. The results obtained demonstrate the validity of this approach. Copyright RS&PS + Blackwell Publishing Numéro de notice : A2008-420 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1111/j.1477-9730.2008.00496.x En ligne : https://doi.org/10.1111/j.1477-9730.2008.00496.x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29491
in Photogrammetric record > vol 23 n° 124 (December 2008 - February 2009) . - pp 405 - 423[article]Aspects of generating precise digital terrain models in the Wadden Sea from lidar-water classification and structure line extraction / A. Brzank in ISPRS Journal of photogrammetry and remote sensing, vol 63 n° 5 (September - October 2008)
[article]
Titre : Aspects of generating precise digital terrain models in the Wadden Sea from lidar-water classification and structure line extraction Type de document : Article/Communication Auteurs : A. Brzank, Auteur ; Christian Heipke, Auteur ; J. Goepfert, Auteur ; et al., Auteur Année de publication : 2008 Article en page(s) : pp 510 - 528 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] données lidar
[Termes IGN] extraction de traits caractéristiques
[Termes IGN] lasergrammétrie
[Termes IGN] littoral
[Termes IGN] modèle numérique de terrain
[Termes IGN] Pays-Bas
[Termes IGN] semis de points
[Termes IGN] Wadden, mer desRésumé : (Auteur) The Wadden Sea is a unique habitat formed by the strong influence of tidal currents. Twice a day the area is flooded and falls dry afterwards. Due to the force of tidal streams, strong morphologic changes occur frequently. In order to monitor these changes, high precision digital terrain models (DTMs) are required. Lidar proved to be an adequate technique to deliver highly accurate 3D mass points of the surface and dense spacing. However, water often remains within tidal channels and depressions even at low tide, and near infrared lidar is not able to penetrate the water leading to a point cloud which contains surface and water points. Thus, the standard processing workflow for DTM generation from lidar is not suited for the Wadden Sea. In this article, a new workflow is proposed for DTM generation from lidar data in the Wadden Sea. Two major building blocks of this workflow, namely classification of the water points and structure line detection, are presented in detail. For both tasks suitable algorithms were developed tailored to meet special requirements of mudflat. Lidar measurements from water surfaces are detected by a supervised fuzzy classification using the features height, intensity, and 2D point density. Structure lines are derived through a piecewise reconstruction of the surface from the lidar data with a hyperbolic tangent function. The obtained results show that both methods considerably improve the accuracy of DTMs from lidar data. Copyright ISPRS Numéro de notice : A2008-386 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2008.02.002 En ligne : https://doi.org/10.1016/j.isprsjprs.2008.02.002 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29379
in ISPRS Journal of photogrammetry and remote sensing > vol 63 n° 5 (September - October 2008) . - pp 510 - 528[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 081-08051 SL Revue Centre de documentation Revues en salle Disponible Image-based quality assessment of road databases / Markus Gerke in International journal of geographical information science IJGIS, vol 22 n° 8-9 (august 2008)
[article]
Titre : Image-based quality assessment of road databases Type de document : Article/Communication Auteurs : Markus Gerke, Auteur ; Christian Heipke, Auteur Année de publication : 2008 Article en page(s) : pp 871 - 894 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées
[Termes IGN] analyse de sensibilité
[Termes IGN] base de données routières
[Termes IGN] connexité (graphes)
[Termes IGN] évaluation des données
[Termes IGN] graphe
[Termes IGN] mise à jour de base de données
[Termes IGN] modèle sémantique de données
[Termes IGN] qualité des données
[Termes IGN] raisonnement spatial
[Termes IGN] relation topologique
[Termes IGN] traitement d'imageRésumé : (Auteur) In this paper, an approach to the automatic quality assessment of existing geo-spatial data is presented. The necessary reference information is derived automatically from up-to-date digital remotely sensed images using image analysis methods. The focus is on the quality assessment of roads as these are among the most frequently changing objects in the landscape. In contrast to existing approaches for quality control of road data, the data to be assessed and the objects extracted from the images are modelled and processed together. A geometric-topologic relationship model for the roads and their surroundings is defined. Context objects such as rows of trees support the quality assessment of road vector data as they may explain gaps in road extraction. The extraction and explicit incorporation of these objects in the assessment of a given road database give stronger support for or against its correctness. During the assessment existing relations between road objects from the database and extracted objects are compared to the modelled relations. The certainty measures of the objects are integrated into this comparison. Normally, more than one extracted object gives evidence for a road database object; therefore, a reasoning algorithm which combines evidence given by the extracted objects is used. If the majority of the total evidence argues for the database object and if a certain amount of this database object is covered by extracted objects, the database object is assumed to be correct, i.e. it is accepted, otherwise it is rejected. The procedure is embedded into a two-stage graph-based approach which exploits the connectivity of roads and results in a reduction of false alarms. The algorithms may be incorporated into a semi-automatic environment, where a human operator only checks those objects that have been rejected. The experimental results confirm the importance of the employed advanced statistical modelling. The overall approach can reliably assess the roads from the given database, using road and context objects which have been automatically extracted from remotely sensed imagery. Sensitivity analysis shows that in most cases the chosen two-stage graph-approach reduces the number of false decisions. Approximately 66% of the road objects have been accepted by the developed approach in an extended test area, 1% has been accepted though incorrect. Those false decisions are mainly related to the lack of modelling road junction areas. Copyright Taylor & Francis Numéro de notice : A2008-306 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article DOI : 10.1080/13658810701703258 En ligne : https://doi.org/10.1080/13658810701703258 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29299
in International journal of geographical information science IJGIS > vol 22 n° 8-9 (august 2008) . - pp 871 - 894[article]Exemplaires(2)
Code-barres Cote Support Localisation Section Disponibilité 079-08051 RAB Revue Centre de documentation En réserve L003 Disponible 079-08052 RAB Revue Centre de documentation En réserve L003 Disponible EuroSDR & ISPRS Workshop Geosensor Networks, February 20 - 22 2008, Hannover Germany / Christian Heipke (2008)PermalinkRadial topology algorithm: a new approach for deriving 2.5D GIS data models / U. Lenk in Geoinformatica, vol 10 n° 4 (December 2006)PermalinkSemantically correct 2.5D GIS data: the integration of a DTM and topographic vector data / A. Koch in ISPRS Journal of photogrammetry and remote sensing, vol 61 n° 1 (October 2006)Permalinkvol 60 n° 6 - September 2006 - Digital aerial camera (Bulletin de ISPRS Journal of photogrammetry and remote sensing) / Christian HeipkePermalinkAutomatic extraction of wind erosion obstacles by integration of GIS data, DSM and stereo images / Y. Zhang in International Journal of Remote Sensing IJRS, vol 27 n°7-8 (April 2006)PermalinkSome requirements for geographic information systems: a photogrammetric point of view / Christian Heipke in Photogrammetric Engineering & Remote Sensing, PERS, vol 70 n° 2 (February 2004)PermalinkGraph-supported verification of road databases / Markus Gerke in ISPRS Journal of photogrammetry and remote sensing, vol 58 n° 3-4 (January - June 2004)Permalinkvol 58 n° 3-4 - January - June 2004 - Integration of geodata and imagery for automated refinement and update of spatial databases (Bulletin de ISPRS Journal of photogrammetry and remote sensing) / Christian HeipkePermalinkProceedings of the ISPRS conference IC II/IV, WG III/4, III/5, III/6 Photogrammetric image analysis, 17-19 September, 2003, Munich, Germany / Heinrich Ebner (2003)PermalinkImage analysis for GIS data acquisition : paper read at a Technical Meeting of the Photogrammetric Society on 14th March 2000 / Christian Heipke in Photogrammetric record, vol 16 n° 96 (October 2000 - March 2001)Permalink