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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
modèle par fonctions rationnellesSynonyme(s)RPC modèle analytique de prise de vue |
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Construction of digital 3D highway model using stereo IKONOS satellite imagery / Ahmed Shaker in Geocarto international, vol 26 n° 1 (February 2011)
[article]
Titre : Construction of digital 3D highway model using stereo IKONOS satellite imagery Type de document : Article/Communication Auteurs : Ahmed Shaker, Auteur ; W. Yan, Auteur ; S. Easa, Auteur Année de publication : 2011 Article en page(s) : pp 49 - 67 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] autoroute
[Termes IGN] extraction semi-automatique
[Termes IGN] géoréférencement indirect
[Termes IGN] Hong-Kong
[Termes IGN] image Ikonos
[Termes IGN] modèle géométrique de prise de vue
[Termes IGN] modèle numérique de surface
[Termes IGN] modèle par fonctions rationnelles
[Termes IGN] pansharpening (fusion d'images)
[Termes IGN] point d'appui
[Termes IGN] signalisation routière
[Termes IGN] TorontoRésumé : (Auteur) This study aims to assess the accuracy of using stereo high resolution satellite imagery for extracting the highway profiles and plans and constructing accurate 3D highway visualization model. Two stereo-pair IKONOS satellite images for Hong Kong and Toronto are geo-referenced by using a number of ground control points acquired by global positioning system measurements. A polynomial-based generic pushbroom model and rational function model are used to perform the sensor orientation, respectively. The highway alignments are extracted semi-automatically using stereoscopic measurements, and a 3D digital model along the highway is constructed. It is found that the highway alignments retrieved from the stereo IKONOS images result in less than 1-m root mean squared error in most of the cases in the horizontal and vertical directions. Near half-pixel accuracy can be achieved by using pansharpening stereo satellite imagery and under the condition that clear road surface markings can be identified along the highway. Numéro de notice : A2011-036 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2010.537785 Date de publication en ligne : 04/12/2010 En ligne : https://doi.org/10.1080/10106049.2010.537785 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30817
in Geocarto international > vol 26 n° 1 (February 2011) . - pp 49 - 67[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 059-2011011 RAB Revue Centre de documentation En réserve L003 Disponible Orthorectification of VHR optical satellite data exploiting the geometric accuracy of TerraSAR-X data / Peter Reinartz in ISPRS Journal of photogrammetry and remote sensing, vol 66 n° 1 (January - February 2011)
[article]
Titre : Orthorectification of VHR optical satellite data exploiting the geometric accuracy of TerraSAR-X data Type de document : Article/Communication Auteurs : Peter Reinartz, Auteur ; R. Muller, Auteur ; P. Schwind, Auteur ; et al., Auteur Année de publication : 2011 Article en page(s) : pp 124 - 132 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image mixte
[Termes IGN] appariement d'images
[Termes IGN] erreur moyenne quadratique
[Termes IGN] image ALOS-PRISM
[Termes IGN] image Ikonos
[Termes IGN] image optique
[Termes IGN] image radar
[Termes IGN] image TerraSAR-X
[Termes IGN] méthode robuste
[Termes IGN] modèle par fonctions rationnelles
[Termes IGN] orientation du capteur
[Termes IGN] orthorectification
[Termes IGN] point d'appui
[Termes IGN] précision géométrique (imagerie)
[Termes IGN] zone urbaineRésumé : (Auteur) Orthorectification of satellite data is one of the most important pre-processing steps for application oriented evaluations and for image data input into Geographic Information Systems. Although high- and very high-resolution optical data can be rectified without ground control points (GCPs) using an underlying digital elevation model (DEM) to positional root mean square errors (RMSEs) between 3 m and several hundred meters (depending on the satellite), there is still need for ground control with higher precision to reach lower RMSE values for the orthoimages. The very high geometric accuracy of geocoded data of the TerraSAR-X satellite has been shown in several investigations. This is due to the fact that the SAR antenna measures distances which are mainly dependent on the terrain height and the position of the satellite. The latter can be measured with high precision, whereas the satellite attitude need not be known exactly. If the used DEM is of high accuracy, the resulting geocoded SAR data are very precise in their geolocation. This precision can be exploited to improve the orientation knowledge and thereby the geometric accuracy of the rectified optical satellite data. The challenge is to match two kinds of image data, which exhibit very different geometric and radiometric properties. Simple correlation techniques do not work and the goal is to develop a robust method which works even for urban areas, including radar shadows, layover and foreshortening effects. First the optical data have to be rectified with the available interior and exterior orientation data or using rational polynomial coefficients (RPCs). From this approximation, the technique used is the measurement of small identical areas in the optical and radar images by automatic image matching, using a newly developed adapted mutual information procedure followed by an estimation of correction terms for the exterior orientation or the RPC coefficients. The matching areas are selected randomly from a regular grid covering the whole imagery. By adjustment calculations, parameters from falsely matched areas can be eliminated and optimal improvement parameters are found. The original optical data are orthorectified again using the delivered metadata together with these corrections and the available DEM. As proof of method the orthorectified data from IKONOS and ALOS-PRISM sensors are compared with conventional ground control information from high-precision orthoimage maps of the German Cartographic Survey. The results show that this method is robust, even for urban areas. Although the resulting RMSE values are in the order of 2–6 m, the advantage is that this result can be reached even for optical sensors which do not exhibit low RMSE values without using manual GCP measurements. Numéro de notice : A2011-017 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2010.10.003 En ligne : https://doi.org/10.1016/j.isprsjprs.2010.10.003 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30799
in ISPRS Journal of photogrammetry and remote sensing > vol 66 n° 1 (January - February 2011) . - pp 124 - 132[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-2011011 SL Revue Centre de documentation Revues en salle Disponible Precise georeferencing of long strips of ALOS imagery / Clive Simpson Fraser in Photogrammetric Engineering & Remote Sensing, PERS, vol 77 n° 1 (January 2011)
[article]
Titre : Precise georeferencing of long strips of ALOS imagery Type de document : Article/Communication Auteurs : Clive Simpson Fraser, Auteur ; M. Ravanbakhsh, Auteur Année de publication : 2011 Article en page(s) : pp 87 - 93 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] compensation par bloc
[Termes IGN] géoréférencement
[Termes IGN] image ALOS-PRISM
[Termes IGN] modèle géométrique de prise de vue
[Termes IGN] modèle par fonctions rationnelles
[Termes IGN] point d'appuiRésumé : (Auteur) The main obstacle to achieving high precision in georeferencing from high-resolution satellite imagery (hrsi) remains the need for provision of good quality ground control points (GCPs), whether the GCPs are used to remove biases in RFC triangulation or to support physical sensor orientation models. The provision of GCPs can be very costly and is often not feasible in remote regions, the very areas where mapping from satellite imagery shows significant potential. In order to drastically reduce the number of GCPs required for georeferencing from HRSI, a generic sensor orientation model incorporating strip adjustment capability has been adopted. Under this approach, the metadata for each separate scene is merged to produce a single, continuous set of orbit and attitude parameters, such that the entire strip of tens of images can be treated as a single image. The merging of orbit data results in a considerable reduction in both the number of unknown parameters and the number of required GCPs in the sensor orientation. RPCs are then generated from the adjusted orientation data for each image forming the strip or block. Application of the method to very long strips of ALOS PRISM imagery is reported in this paper. The results of experimental testing indicate that one-pixel level accuracy can be achieved over strip lengths of more than 50 ALOS images, or 1,500 km, with as few as four GCPs. Numéro de notice : A2011-004 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.77.1.87 En ligne : https://doi.org/10.14358/PERS.77.1.87 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30786
in Photogrammetric Engineering & Remote Sensing, PERS > vol 77 n° 1 (January 2011) . - pp 87 - 93[article]Evaluation of the RPC model for spaceborne SAR imagery / G. Zhang in Photogrammetric Engineering & Remote Sensing, PERS, vol 76 n° 6 (June 2010)
[article]
Titre : Evaluation of the RPC model for spaceborne SAR imagery Type de document : Article/Communication Auteurs : G. Zhang, Auteur ; W. Fei, Auteur ; Z. Li, Auteur ; et al., Auteur Année de publication : 2010 Article en page(s) : pp 727 - 733 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s)
[Termes IGN] image radar moirée
[Termes IGN] image TerraSAR-X
[Termes IGN] modèle par fonctions rationnelles
[Termes IGN] modélisation géométrique de prise de vueRésumé : (Auteur) The rational polynomial coefficient (RPC) model has raised considerable interest in the photogrammetry and remote sensing community. Much work has been done on frame camera imagery and/or push-broom scanner imagery, and it has been widely accepted that the RPC model can be taken as an alternative to rigorous sensor models for photogrammetric processing. However, there have been few publications discussing the application of the RPC model to SAR image processing. In this paper, we first review the geometric effects of SAR imagery and compare SAR imagery with optical satellite imagery. Then, the unbiased RPC estimators for a series of SAR images are derived. Based on numerous tests with the rigorous sensor model available, the modeling error of the RPC is analyzed. This study found that the RPC model is suitable for SAR imagery and can be used as a replacement for the rigorous sensor model for photogrammetric processing. Numéro de notice : A2010-229 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.76.6.727 En ligne : https://doi.org/10.14358/PERS.76.6.727 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30423
in Photogrammetric Engineering & Remote Sensing, PERS > vol 76 n° 6 (June 2010) . - pp 727 - 733[article]Generic method for RPC refinement using ground control information / Z. Xiong in Photogrammetric Engineering & Remote Sensing, PERS, vol 75 n° 9 (September 2009)
[article]
Titre : Generic method for RPC refinement using ground control information Type de document : Article/Communication Auteurs : Z. Xiong, Auteur ; Y. Zhang, Auteur Année de publication : 2009 Article en page(s) : pp 1083 - 1092 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s)
[Termes IGN] modèle par fonctions rationnelles
[Termes IGN] modélisation géométrique de prise de vue
[Termes IGN] orientation du capteur
[Termes IGN] point d'appuiRésumé : (Auteur) Geometric sensor models are used in image processing to model the relationship between object space and image space and to transform image data to conform to a map projection. An Rational Polynomial Coefficient (RCP) is a generic sensor model that can be used to transform images from a variety of different high resolution satellite and airborne remote sensing systems. To date, numerous researchers have published papers about RPC refinement, aimed at improving the accuracy of the results. So far, the Bias Compensation method is the one that is the most accepted and widely used, but this method has rigorous conditions that limit its use; namely, it can only be used to improve the RPC of images obtained from cameras with a narrow field of view and small attitude errors, such as those used on Ikonos or QuickBird satellites. In many cases, these rigorous conditions may not be satisfied (e.g., cameras with a wide field of view and some satellites with large ephemeris and attitude errors). Therefore, a more robust method that can be used to refine the RPC under a wider range of conditions is desirable. In this paper, a generic method for RPC refinement is proposed. The method first restores the sensor’s pseudo position and attitude, then adjusts these parameters using ground control points. Finally a new RPC is generated based on the sensor’s adjusted position and attitude. We commence our paper with a review of the previous ten years of research directed toward RPC refinement, and compare the characteristics of different refinement methods that have been proposed to date. We then present a methodology for a proposed generic method for RPC refinement and describe the results of two sets of experiments that compare the proposed Generic method with the Bias Compensation method. The results confirm that the Bias Compensation method works well only when the aforementioned rigorous conditions are met. The accuracy of the RPC refined by the Bias Compensation method decreased rapidly with the sensor’s position error and attitude error. In contrast to this, the Generic method proposed in this paper was found to yield highly accurate results under a variety of different sensor positions and attitudes. Copyright ASPRS Numéro de notice : A2009-370 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.75.9.1083 En ligne : https://doi.org/10.14358/PERS.75.9.1083 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30000
in Photogrammetric Engineering & Remote Sensing, PERS > vol 75 n° 9 (September 2009) . - pp 1083 - 1092[article]Analysis 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)PermalinkAdjustability and error propagation for true replacement sensor models / C. Puatanachokchai in ISPRS Journal of photogrammetry and remote sensing, vol 63 n° 3 (May - June 2008)PermalinkPotential of Cartosat-1 images for topographic mapping / Costas Armenakis in Geomatica, vol 62 n° 1 (March 2008)PermalinkGeometric accuracy assessment of QuickBird basic imagery using different operational approaches / M. Aguilar in Photogrammetric Engineering & Remote Sensing, PERS, vol 73 n° 12 (December 2007)PermalinkRational function model for sensor orientation of IRS-P6 LISS-4 imagery / V. Nagasubramanian in Photogrammetric record, vol 22 n° 120 (December 2007 - February 2008)PermalinkComprehensive analysis of sensor modelling alternatives for high-resolution imaging satellites / A. Habib in Photogrammetric Engineering & Remote Sensing, PERS, vol 73 n° 11 (November 2007)PermalinkOrthogonal polynomials supported by regional growing segmentation for the extraction of terrain from lidar data / N.A. Akel in Photogrammetric Engineering & Remote Sensing, PERS, vol 73 n° 11 (November 2007)PermalinkIntegration of Ikonos and Quickbird imagery for geopositioning accuracy analysis / R. Li in Photogrammetric Engineering & Remote Sensing, PERS, vol 73 n° 9 (September 2007)Permalink3D physical versus empirical models for HR sensor orientation and elevation extraction: examples with Ikonos and Quickbird / Thierry Toutin in Revue Française de Photogrammétrie et de Télédétection, n° 184 (Décembre 2006)PermalinkPros and cons of the orientation of very high resolution optical space images / Karsten Jacobsen in Revue Française de Photogrammétrie et de Télédétection, n° 184 (Décembre 2006)Permalink