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Termes IGN > sciences naturelles > physique > traitement d'image > acquisition d'images > modélisation de prise de vue > modélisation géométrique de prise de vue > modèle géométrique de prise de vue > modèle de déformation des images > modèle par fonctions rationnelles
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Spatial accuracy of orthorectified Ikonos imagery and historical aerial photographs across five sites in China / H. Wang in International Journal of Remote Sensing IJRS, vol 26 n° 9 (May 2005)
[article]
Titre : Spatial accuracy of orthorectified Ikonos imagery and historical aerial photographs across five sites in China Type de document : Article/Communication Auteurs : H. Wang, Auteur ; E.C. Ellis, Auteur Année de publication : 2005 Article en page(s) : pp 1893 - 1911 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse diachronique
[Termes IGN] analyse spatio-temporelle
[Termes IGN] Chine
[Termes IGN] détection de changement
[Termes IGN] image à résolution métrique
[Termes IGN] image Ikonos
[Termes IGN] modèle par fonctions rationnelles
[Termes IGN] photographie aérienne
[Termes IGN] point d'appui
[Termes IGN] précision géométrique (imagerie)Résumé : (Auteur) High-resolution ( 1m) satellite imagery and archival World War 2 era (WW2) aerial photographs are currently available to support high-resolution longterm change measurements at sites across China. A major limitation to these measurements is the spatial accuracy with which this imagery can be orthorectified and co-registered. We orthorectified IKONOS 1m resolution GEO-format imagery and WW2 aerial photographs across five 100km2 rural sites in China with terrain ranging from flat to hilly to mountainous. Ground control points (GCPs) were collected uniformly across 100 km2 IKONOS scenes using a differential Global Positioning Systems (GPS) field campaign. WW2 aerial photos were co-registered to orthorectified IKONOS imagery using bundle block adjustment and rational function models. GCP precision, terrain relief and the number and distribution of GCPs significantly influenced image orthorectification accuracy. Root mean square errors (RMSEs) at GCPs for IKONOS imagery were Numéro de notice : A2005-256 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160512331326684 En ligne : https://doi.org/10.1080/01431160512331326684 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27392
in International Journal of Remote Sensing IJRS > vol 26 n° 9 (May 2005) . - pp 1893 - 1911[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 080-05091 RAB Revue Centre de documentation En réserve L003 Exclu du prêt
Titre : Modelling of spaceborne linear array sensors Type de document : Thèse/HDR Auteurs : Daniela Poli, Auteur Editeur : Zurich : Institut für Geodäsie und Photogrammetrie IGP - ETH Année de publication : 2005 Collection : IGP Mitteilungen, ISSN 0252-9335 num. 85 Importance : 204 p. Format : 21 x 30 cm ISBN/ISSN/EAN : 978-3-906467-50-4 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s)
[Termes IGN] auto-étalonnage
[Termes IGN] C (langage)
[Termes IGN] capteur aérien
[Termes IGN] capteur en peigne
[Termes IGN] capteur spatial
[Termes IGN] chambre DTC
[Termes IGN] compensation par faisceaux
[Termes IGN] géométrie de l'image
[Termes IGN] géoréférencement direct
[Termes IGN] géoréférencement indirect
[Termes IGN] GPS-INS
[Termes IGN] image EROS
[Termes IGN] image MOMS-2P
[Termes IGN] image SPOT-HRS
[Termes IGN] image Terra-ASTER
[Termes IGN] image Terra-MISR
[Termes IGN] modèle géométrique de prise de vue
[Termes IGN] modèle mathématique
[Termes IGN] modèle par fonctions rationnelles
[Termes IGN] modèle stéréoscopique
[Termes IGN] orientation du capteur
[Termes IGN] orientation externe
[Termes IGN] orientation interne
[Termes IGN] point d'appui
[Termes IGN] point de vérification
[Termes IGN] points homologuesIndex. décimale : 35.11 Géométrie et qualité des prises de vues Résumé : (Auteur) The topic of this research is the development of a mathematical model for the georeferencing of imagery acquired by multi-line CCD array sensors, carried on air- or spacecraft. Linear array sensors are digital optical cameras widely used for the acquisition of panchromatic and multispectral images in pushbroom mode with spatial resolution ranging from few centimeters (airborne sensors) up to hundreds meters (spaceborne sensors). The images have very high potentials for photogrammetric mapping at different scales and for remote sensing applications. For example, they can be used for the generation of Digital Elevation Models (DEM), that represent an important basis for the creation of Geographic Information Systems, and the production of 3D texture models for visualization and animation purposes.
In the classical photogrammetric chain that starts from the radiometric preprocessing of the raw images and goes to the generation of products like the DEMs, the orientation of the images is a fundamental step and its accuracy is a crucial issue during the evaluation of the entire system. For pushbroom sensors, the triangulation and photogrammetric point determination are rather different compared to the standard approaches for full frame imagery and require special investigations on the sensor geometry and the acquisition mode.
Today various models based on different approaches have been developed, but few of them are rigorous and can be used for a wide class of pushbroom sensors. In general a rigorous sensor model aims to describe the relationship between image and ground coordinates, according to the physical properties of the image acquisition. The functional model is based on the collinearity equations. The sensor model presented in this thesis had to fulfil the requirement of being rigorous and at the same time as flexible as possible and adaptable to a wide class of linear array sensors. In fact pushbroom scanners in use show different geometric characteristics (optical systems, number of CCD lines, scanning mode, stereoscopy) and for each data set specific information are available (ephemeris, GPS/INS observations, calibration, other internal parameters). Therefore the model needs to be dependent on a certain number of parameters that may change for each sensor.
According to the availability of information on the sensor internal and external orientation, the proposed model includes two different orientation approaches.
The first one, the direct georeferencing one, is based on the estimations of the ground coordinates of the points measured in the images through a forward intersection, using the external orientation provided by GPS and INS instruments or interpolated by ephemeris or computed using the orbital parameters (satellite case). This approach does not require any ground control points, except for final checking, and does not estimate any additional parameters for the correction of the interior and exterior orientation. For this reason, the accuracy of this method depends on the accuracy of the external and internal orientation data.
The alternative orientation method, based on indirect georeferencing, is used if the sensor external and internal orientation is not available or not enough accurate for high-precision photograrnmetric mapping. This approach is a self-calibrating bundle adjustment. The sensor position and attitude are modelled with 2nd order piecewise polynomial functions (PPM) depending on time. Constraints on the segment borders assure the continuity of the functions, together with their first and second derivatives. Using pseudo-observations on the PPM parameters, the polynomial degree can be reduced to one (linear functions) or even to zero (constant functions). If GPS and INS are available, they are integrated in the PPM. For the self-calibration, additional parameters (APs) are used to model the lens internal parameters and distortions and the linear arrays displacements in the focal plane.
The parameters modelling the internal and external orientation, together with the ground coordinates of tie and control points, are estimated through a least-squares bundle adjustment using well distributed ground control points. The use of pseudo-observations allows the user to run the adjustment fixing any unknown parameters to certain values. This option is very useful not only for the external orientation modelling, but also for the analysis of the single self-calibration parameter's influence. The weights for the observations and pseudo-observations are determined according to the measurement accuracy. A blunder detection procedure is integrated for the automatic detection of wrong image coordinate measurement. The adjustment results are analyzed in terms of internal and external accuracy. The APs to be estimated are chosen according to their correlations with the other unknown parameters (ground coordinates of tie points and PPM parameters). A software has been developed under Unix environment in C language.
The flexibility of the model has been proved by testing it on MOMS-2P, SPOT-5/HRS, ASTER, MISR and EROS-A1 stereo images. These sensors have different characteristics (single-lens and multi-lens optical systems, various number of linear arrays, synchronous and asynchronous acquisition modes), covering a wide range of possible acquisition geometries.
For each dataset both the direct and indirect models have been used and in all cases the direct georeferencing was not accurate enough for high accurate mapping. The indirect model has been applied with different ground control points distributions (when possible), varying the PPM configurations (number of segments, polynomials degree) and with and without self-calibration. Excluding EROS-A1, all the imagery has been oriented with sub-pixels accuracy in the check points using a minimum of 6 ground control points. In case of EROS-A1, an accuracy in the range of I to 2 pixels has been achieved, due the lack of information on the geometry of the sensor asynchronous acquisition. For the ASTER and SPOT-5/HRS datasets, a DEM has also been generated and compared to some reference DEMs.
New cameras can be easily integrated in the model, because the required sensor information are accessible in literature as well as in the web. If no information on the sensor internal orientation is available, the model supposes that the CCD lines are parallel to each other in the focal plane and perpendicular to the flight direction and estimates any systematic error through the self-calibration. The satellite's position and velocity vectors, usually contained in the ephemeris, are required in order to compute the initial approximations for the PPM parameters. If this information is not available, the Keplerian elements can be used to estimate the nominal trajectory. For pushbroom scanners carried on airplane or helicopter the GPS and INS measurements are indispensable, due to the un-predictability of the trajectory.Note de contenu : 1. INTRODUCTION
1.1. REVIEW OF EXISTING MODELS
1.2. RESEARCH OBJECTIVES
1.3. OUTLINE
2. LINEAR CCD ARRAY SENSORS
2.1. SOLIDSTATE TECHNOLOGY
2.2. ARRAY GEOMETRIES
2.2. 1. Linear arrays
2.2.2. Other geometries
2.3. IMAGING SYSTEM
2.4. SENSOR CALIBRATION
2.4.1. Errors in CCD lines
2.4.2. Lens distortions
2.4.3. Laboratory calibration
2.5. STEREO ACQUISITION
2.5.1. Acrosstrack
2.5.2. Alongtrack
2.6. PLATFORMS
2.6.1. Satellite platforms
2.6.2. Airborne and helicopter platforms
2.7. IMAGE CHARACTERISTICS
2.7.1. Spatial resolution
2.7.2. Radiometric resolution
2.7.3. Spectral resolution
2.7.4. Temporal resolution
2.8. PROCESSING LEVELS
2.9. LIST OF LINEAR ARRAY SENSORS
2.10. CONCLUSIONS
3. DIRECT GEOREFERENCING
3.1. EXTERNAL ORIENTATION FROM GPS/INS
3.1.1. Background
3.1.2. GPS system
3.1.3. INS system
3.1.4. GPS/INS integration
3.1.5. Commercial systems
3.2. EXTERNAL ORIENTATION FROM EPHEMERIS
3.2.1. Orientation with Keplerian elements
3.2.2. Orientation from state vectors
3.2.3. Interpolation between reference lines
3.3. DIRECT GEOREFERENCING
3.3.1. From image to camera coordinates
3.3.2. From camera to ground coordinates
3.3.3. Estimation of approximate ground coordinates
3.3.4. Refinement
3.4. SOME CONSIDERATIONS ON GPS/INS MEASUREMENTS
3.5. ACCURACY EVALUATION
3.6. CONCLUSIONS
4. INDIRECT GEOREFERENCING
4.1. ALGORITHM OVERVIEW
4.2. EXTENTION TO MULTILENS SENSORS
4.3. EXTERNAL ORIENTATION MODELLING
4.3.1. Integration of GPS/INS observations
4.3.2. Function continuity
4.3.3. Reduction of polynomial order
4.4.SELFCALIBRATION
4.5. OBSERVATION EQUATIONS
4.5.1. Image coordinates
4.5.2. External orientation parameters
4.5.3. Selfcalibration parameters
4.5.4. Ground control points
4.6. LEAST SQUARES ADJUSTMENT
4.6.1. Theory of least squares adjustment
4.6.2. Linearization
4.6.3. Design matrix construction
4.6.4. Solution of linear system
4.7. ANALYSIS OF RESULTS
4.7.1. Internal accuracy
4.7.2. RMSE calculations
4.7.3. Correlations
4.7.4. Blunder detection
4.8. FORWARD INTERSECTION
4.9. SUMMARY AND COMMENTS
5. PREPROCESSING
5.1. METADATA FILES FORMATS
5.2. INFORMATION EXTRACTION FROM METADATA FILES
5.3. RADIOMETRIC PREPROCESSING
5.3.1. Standard algorithms
5.3.2. Adhoc filters
6. APPLICATIONS
6.1. WORKFLOW
6.2. MOMS02
6.2.1. Sensor description
6.2.2. Data description
6.2.3. Preprocessing
6.2.4. Image orientation
6.2.5. Summary and conclusions
6.3. SPOT5/HRS
6.3.1. Sensor description
6.3.2. Data description
6.3.3. Preprocessing
6.3.4. Image orientation
6.3.5. DEM generation
6.3.6. Comparison
6.3.7. Summary and conclusions
6.4 ASTER
6.4.1. Sensor description
6.4.2. Data description
6.4.3. Preprocessing
6.4.4. Images orientation
6.4.5. DEM generation
6.4.6. Comparison with reference DEMs
6.4.7. Summary and conclusions
6.5 MISR
6.5.1. Sensor description
6.5.2. Data description
6.5.3. Preprocessing
6.5.4. Image orientation
6.5.5. Summary and conclusions
6.6 EROS-A1
6.6.1. Sensor description
6.6.2. Data description and Preprocessing
6.6.3. Image orientation
6.6.4. Summary and conclusions
7. CONCLUSION AND OUTLOOK
7.1 CONCLUSION
7.2 OUTLOOKNuméro de notice : 13260 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Thèse étrangère DOI : 10.3929/ethz-a-004946341 En ligne : http://dx.doi.org/10.3929/ethz-a-004946341 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=54943 Réservation
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Code-barres Cote Support Localisation Section Disponibilité 13260-01 35.11 Livre Centre de documentation En réserve M-103 Disponible Photogrammetric exploitation of Ikonos imagery for mapping applications / C. Vincent Tao in International Journal of Remote Sensing IJRS, vol 25 n° 14 (July 2004)
[article]
Titre : Photogrammetric exploitation of Ikonos imagery for mapping applications Type de document : Article/Communication Auteurs : C. Vincent Tao, Auteur ; Y. Hu, Auteur ; W. Jiang, Auteur Année de publication : 2004 Article en page(s) : pp 2833 - 2853 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] extraction automatique
[Termes IGN] image à résolution métrique
[Termes IGN] image Ikonos
[Termes IGN] image multibande
[Termes IGN] image panchromatique
[Termes IGN] modèle par fonctions rationnelles
[Termes IGN] orthorectification
[Termes IGN] reconstruction 3D
[Termes IGN] stéréoscopie
[Termes IGN] test de performanceRésumé : (Auteur) The launch of IKONOS by Space Imaging opens a new era of high resolution satellite imagery collection and mapping. The IKONOS satellite simultaneously acquires 1m panchromatic and 4m multi-spectral images in four bands that are suitable for high accuracy mapping applications. Space Imaging uses the rational function model (RFM), also known as rational polynomial camera model, instead of the physical IKONOS sensor model to communicate the imaging geometry. As revealed by recent studies from several researchers, the RFM retains the full capability of performing photogrammetric processing in absence of the physical sensor model. This paper presents some RFM-based processing methods and mapping applications developed for 3D feature extraction, orthorectification and RPC model refinement using IKONOS imagery. Comprehensive tests are performed to test the accuracy of 3D reconstruction and orthorectification and to validate the feasibility of the model refinement techniques. Numéro de notice : A2004-293 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160310001618392 En ligne : https://doi.org/10.1080/01431160310001618392 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26820
in International Journal of Remote Sensing IJRS > vol 25 n° 14 (July 2004) . - pp 2833 - 2853[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 080-04121 RAB Revue Centre de documentation En réserve L003 Exclu du prêt Accuracy assessment of Quickbird stereo imagery / M. Noguchi in Photogrammetric record, vol 19 n° 106 (June - August 2004)
[article]
Titre : Accuracy assessment of Quickbird stereo imagery Type de document : Article/Communication Auteurs : M. Noguchi, Auteur ; Clive Simpson Fraser, Auteur Année de publication : 2004 Article en page(s) : pp 128 - 137 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s)
[Termes IGN] compensation par faisceaux
[Termes IGN] erreur systématique
[Termes IGN] Geographical Survey Institute
[Termes IGN] géoréférencement
[Termes IGN] image à très haute résolution
[Termes IGN] image Quickbird
[Termes IGN] modèle par fonctions rationnelles
[Termes IGN] orientation du capteur
[Termes IGN] précision géométrique (imagerie)
[Termes IGN] précision métriqueRésumé : (Auteur) L'Institut Géographique japonais a effectué récemment une évaluation des qualités métriques de l'imagerie stéréoscopique du satellite QuickBird. On présente dans cet article, une estimation de la précision à l'issue des phases relatives au géopositionnement et à l'orientation du capteur. Le but de cette étude était double. Il s'agissait d'abord de confirmer les possibilités d'utilisation de l'imagerie de QuickBird pour la cartographie topographique à l'échelle du 1:25.000. Ensuite, il fallait déterminer la précision que l'on pouvait atteindre avec le produit image BASIC. On a recouru aux techniques de compensation affine par faisceaux et aux fonctions rationnelles, ces dernières ayant inclus une compensation des biais. Les résultats obtenus montrent à nouveau la haute précision permise par les fonctions rationnelles mais jettent un doute sur la possibilité d'application du modèle affine 3D pour obtenir un géopositionnement précis à partir de l'imagerie de QuickBird. Numéro de notice : A2004-217 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1111/j.1477-9730.2004.00035.x En ligne : https://doi.org/10.1111/j.1477-9730.2004.00035.x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26744
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Code-barres Cote Support Localisation Section Disponibilité 106-04021 RAB Revue Centre de documentation En réserve L003 Disponible Geometric information from Ikonos: strict and highly accurate solution based on VirtuoZo / Z. Hu in GIM international, vol 17 n° 9 (September 2003)
[article]
Titre : Geometric information from Ikonos: strict and highly accurate solution based on VirtuoZo Type de document : Article/Communication Auteurs : Z. Hu, Auteur Année de publication : 2003 Article en page(s) : pp 42 - 45 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s)
[Termes IGN] analyse comparative
[Termes IGN] erreur moyenne quadratique
[Termes IGN] image à résolution métrique
[Termes IGN] image Ikonos
[Termes IGN] image panchromatique
[Termes IGN] modèle numérique de terrain
[Termes IGN] modèle par fonctions rationnelles
[Termes IGN] point d'appui
[Termes IGN] résiduRésumé : (Auteur) Since the pixel size of panchromatic Ikonos imagery is one metre, it is desirable that the planimetric and height error after georeferencing be smaller. Which method provides this high accuracy requirement ? Three processing methods have been tested : (1) Ikonos RPC parameters only, (2) an associated adjustment of RPC parameters with control points and (3) a strict geometric model based on affine transformation. The adjustment of RPC parameters with one or two control points improves accuracy significantly, especially in elevation. Using only five control points, the strict model yields very high accuracy of 5 to 12 cm in X,Y and Z with one pair of stereo images covering. This method does not need RPC coefficients, whilst the coordinate system can be any independent one. The strict model represents a new step forward, both in theory and application, for high-resolution Ikonos imagery processing. Numéro de notice : A2003-238 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22533
in GIM international > vol 17 n° 9 (September 2003) . - pp 42 - 45[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 061-03091 SL Revue Centre de documentation Revues en salle Disponible Block adjustment of high-resolution satellite images described by rational polynomials / Jacek Grodecki in Photogrammetric Engineering & Remote Sensing, PERS, vol 69 n° 1 (January 2003)Permalink3D reconstruction methods based on the rational function model / C. Vincent Tao in Photogrammetric Engineering & Remote Sensing, PERS, vol 68 n° 7 (July 2002)PermalinkUpdating solutions of the rational function model using additional control information / Y. Hu in Photogrammetric Engineering & Remote Sensing, PERS, vol 68 n° 7 (July 2002)PermalinkThree-dimensional [3D] geopositioning accuracy of Ikonos imagery / Clive Simpson Fraser in Photogrammetric record, vol 17 n° 99 (April - September 2002)PermalinkModex / Stéphane Mallat (1998)PermalinkRecalage de données SPOT et SAR en zone de fort relief / L. Merlin (1998)PermalinkComparaison d'images radar ERS et JERS en milieu tropical humide, Volume 1. Mémoire / Magali Di Salvo (1995)PermalinkComparaison d'images radar ERS et JERS en milieu tropical humide, Volume 2. Annexes, 1-étude informatique, 2-mesure de la surface de la zone inondée, 3-mosaïque ERS JERS / Magali Di Salvo (1995)PermalinkIntroduction to numerical analysis / J. Stoer (1993)Permalink