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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
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Using RFM for simultaneous positioning of multi-sensor spaceborne SAR imagery / Yingdan Wu in Photogrammetric record, vol 28 n° 143 (September - November 2013)
[article]
Titre : Using RFM for simultaneous positioning of multi-sensor spaceborne SAR imagery Type de document : Article/Communication Auteurs : Yingdan Wu, Auteur ; Yang Ming, Auteur Année de publication : 2013 Article en page(s) : pp 312 - 323 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] compensation par bloc
[Termes IGN] données multicapteurs
[Termes IGN] image radar moirée
[Termes IGN] modèle par fonctions rationnelles
[Termes IGN] point d'appuiRésumé : (Auteur) As a generic sensor model, the rational function model (RFM) has been widely used in the geometric processing of optical images, but its application to synthetic aperture radar (SAR) datasets has not been developed sufficiently. In this paper a thorough study of the RFM-based bundle adjustment for the simultaneous positioning of multi-sensor spaceborne SAR imagery is made. Different control point layouts are designed to analyse its accuracy, and block adjustments based on a rigorous model are compared with the RFM. Experiments show that the RFM can attain a similar positional accuracy to the rigorous model and, when ground control points are sparse, the RFM is more stable. Numéro de notice : A2013-504 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1111/phor.12029 Date de publication en ligne : 09/07/2013 En ligne : https://doi.org/10.1111/phor.12029 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32642
in Photogrammetric record > vol 28 n° 143 (September - November 2013) . - pp 312 - 323[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 106-2013031 RAB Revue Centre de documentation En réserve L003 Disponible Rational function model in processing historical aerial photographs / Ruijin Ma in Photogrammetric Engineering & Remote Sensing, PERS, vol 79 n° 4 (April 2013)
[article]
Titre : Rational function model in processing historical aerial photographs Type de document : Article/Communication Auteurs : Ruijin Ma, Auteur Année de publication : 2013 Article en page(s) : pp 337 - 345 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] image numérisée
[Termes IGN] modèle par fonctions rationnelles
[Termes IGN] modélisation de prise de vue
[Termes IGN] orthorectification
[Termes IGN] photographie aérienne
[Termes IGN] photographie argentique
[Termes IGN] point d'appuiRésumé : (Auteur) A large amount of aerial photographs were acquired early 1900s for various purposes. These aerial photographs provide valuable baseline data for a variety of environmental studies. To be used for analysis together with other data, these photographs need to be referenced to a ground coordinate system. Often large topographical variations in photo ground coverage demand these photographs be orthorectified using photogrammetric methods for acceptable mapping accuracy. However, camera models for these historical photographs are usually unavailable. Additionally, land-cover change over the years makes it a great challenge to collect accurate control points for calculating camera models. This study investigated the rational function model to orthorectify historical aerial photographs. The analysis results suggest that while the linear, the 2nd order, and the 3rd order BFMs are all able to closely approximate the rigorous frame camera model, the linear RFM is optimal in representing imaging geometries of historical photographs. Numéro de notice : A2013-204 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.79.4.337 En ligne : https://doi.org/10.14358/PERS.79.4.337 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32342
in Photogrammetric Engineering & Remote Sensing, PERS > vol 79 n° 4 (April 2013) . - pp 337 - 345[article]Automated georegistration of high-resolution satellite imagery using a RPC model with airborne lidar information / J. Oh in Photogrammetric Engineering & Remote Sensing, PERS, vol 78 n° 10 (October 2012)
[article]
Titre : Automated georegistration of high-resolution satellite imagery using a RPC model with airborne lidar information Type de document : Article/Communication Auteurs : J. Oh, Auteur ; C. Lee, Auteur ; Y. Eo, Auteur ; J. Bethel, Auteur Année de publication : 2012 Article en page(s) : pp 1045 - 1056 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] accentuation d'image
[Termes IGN] appariement d'images
[Termes IGN] corrélation croisée normalisée
[Termes IGN] données lidar
[Termes IGN] image Kompsat
[Termes IGN] image à haute résolution
[Termes IGN] modèle par fonctions rationnelles
[Termes IGN] superposition d'imagesRésumé : (Auteur) A large amount high-resolution satellite imagery (hrsi) has been available in the commercial market because of its value in creating accurate base maps for various applications. As massive amounts of HRSI are acquired globally by satellites with short revisit times, automated but accurate georegistration is still required despite advances in precise orbit tracking and estimation. Motivated by the attractive properties of airborne lidar data, such as their high resolu-tion and accuracy, this study proposes a new automated method for refining the HRSI with rational polynomial coefficients (RPCs) using airborne lidar information. By projecting the lidar intensity return into the HRSI space, the image matching complexity is reduced to a simple, 2D case. The true challenge is in overcoming the difference between the HRSI and the lidar intensity return to allow for reliable matching. To this end, this paper proposes a new method based on simple relative edge cross correlation (RECC) with a screening method to prevent false matching. To make the approach more robust, data snooping was added for a final detection of outliers. Experiments were performed using three Kompsat-2 images and the potential of the approach. Numéro de notice : A2012-485 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.78.10.1045 En ligne : https://doi.org/10.14358/PERS.78.10.1045 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31931
in Photogrammetric Engineering & Remote Sensing, PERS > vol 78 n° 10 (October 2012) . - pp 1045 - 1056[article]Satellite SAR geocoding with refined RPC model / L. Zhang in ISPRS Journal of photogrammetry and remote sensing, vol 69 (April 2012)
[article]
Titre : Satellite SAR geocoding with refined RPC model Type de document : Article/Communication Auteurs : L. Zhang, Auteur ; Timo Balz, Auteur ; M. Liao, Auteur Année de publication : 2012 Article en page(s) : pp 37 - 49 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] appariement d'images
[Termes IGN] erreur corrélée au temps
[Termes IGN] géoréférencement indirect
[Termes IGN] image radar moirée
[Termes IGN] modèle numérique de surface
[Termes IGN] modèle par fonctions rationnelles
[Termes IGN] propagation du signalRésumé : (Auteur) Recent studies have proved that the Rational Polynomial Camera (RPC) model is able to act as a reliable replacement of the rigorous Range-Doppler (RD) model for the geometric processing of satellite SAR datasets. But its capability in absolute geolocation of SAR images has not been evaluated quantitatively. Therefore, in this article the problems of error analysis and refinement of SAR RPC model are primarily investigated to improve the absolute accuracy of SAR geolocation. Range propagation delay and azimuth timing error are identified as two major error sources for SAR geolocation. An approach based on SAR image simulation and real-to-simulated image matching is developed to estimate and correct these two errors. Afterwards a refined RPC model can be built from the error-corrected RD model and then used in satellite SAR geocoding. Three experiments with different settings are designed and conducted to comprehensively evaluate the accuracies of SAR geolocation with both ordinary and refined RPC models. All the experimental results demonstrate that with RPC model refinement the absolute location accuracies of geocoded SAR images can be improved significantly, particularly in Easting direction. In another experiment the computation efficiencies of SAR geocoding with both RD and RPC models are compared quantitatively. The results show that by using the RPC model such efficiency can be remarkably improved by at least 16 times. In addition the problem of DEM data selection for SAR image simulation in RPC model refinement is studied by a comparative experiment. The results reveal that the best choice should be using the proper DEM datasets of spatial resolution comparable to that of the SAR images. Numéro de notice : A2012-193 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2012.02.004 En ligne : https://doi.org/10.1016/j.isprsjprs.2012.02.004 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31640
in ISPRS Journal of photogrammetry and remote sensing > vol 69 (April 2012) . - pp 37 - 49[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-2012031 SL Revue Centre de documentation Revues en salle Disponible Application of RPC model in orthorectification of spaceborne SAR imagery / G. Zhang in Photogrammetric record, vol 27 n° 137 (March - May 2012)
[article]
Titre : Application of RPC model in orthorectification of spaceborne SAR imagery Type de document : Article/Communication Auteurs : G. Zhang, Auteur ; Q. Qiang, Auteur ; Y. Luo, Auteur ; et al., Auteur Année de publication : 2012 Article en page(s) : pp 94 - 110 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] image radar moirée
[Termes IGN] modèle par fonctions rationnelles
[Termes IGN] modélisation géométrique de prise de vue
[Termes IGN] orthorectificationRésumé : (Auteur) It has been widely accepted that the rational polynomial coefficient (RPC) model can be used as an alternative to rigorous sensor models of high resolution optical satellites for photogrammetric processing. In the application of the RPC model to synthetic aperture radar (SAR) image processing, it has been confirmed that the range-Doppler model can be replaced by the RPC model. Until now, however, orthorectification with the RPC model in SAR image processing has not been considered. This paper investigates how to perform orthorectification in SAR image processing with the RPC model. Following a brief introduction about the RPC model for spaceborne SAR imagery, an optimisation model is established and a method of conducting simulations with the RPC model is proposed. Finally, a series of experiments are performed in order to verify the correctness of the theory using TerraSAR-X, COSMO-SkyMed, ERS-2 and Envisat ASAR images as test data. By comparing the actual accuracy and the theoretical accuracy of the orthorectified imagery, the theory and methodology proposed in this paper are confirmed. Numéro de notice : A2012-131 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1111/j.1477-9730.2011.00667.x Date de publication en ligne : 09/02/2012 En ligne : https://doi.org/10.1111/j.1477-9730.2011.00667.x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31579
in Photogrammetric record > vol 27 n° 137 (March - May 2012) . - pp 94 - 110[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 106-2012011 RAB Revue Centre de documentation En réserve L003 Disponible PermalinkEvaluation of the RPC model as a replacement for the spaceborne InSAR phase equation / G. Zhang in Photogrammetric record, vol 26 n° 135 (September - November 2011)PermalinkA "new hybrid" modelling for geometric processing of Radarsat-2 data without user's GCP / Thierry Toutin in Photogrammetric Engineering & Remote Sensing, PERS, vol 77 n° 6 (June 2011)PermalinkConstruction of digital 3D highway model using stereo IKONOS satellite imagery / Ahmed Shaker in Geocarto international, vol 26 n° 1 (February 2011)PermalinkOrthorectification 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)PermalinkPrecise georeferencing of long strips of ALOS imagery / Clive Simpson Fraser in Photogrammetric Engineering & Remote Sensing, PERS, vol 77 n° 1 (January 2011)PermalinkEvaluation of the RPC model for spaceborne SAR imagery / G. Zhang in Photogrammetric Engineering & Remote Sensing, PERS, vol 76 n° 6 (June 2010)PermalinkGeneric method for RPC refinement using ground control information / Z. Xiong in Photogrammetric Engineering & Remote Sensing, PERS, vol 75 n° 9 (September 2009)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)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)PermalinkComparison of 3D physical and empirical models for generating DSMs from stereo HR images / Thierry Toutin in Photogrammetric Engineering & Remote Sensing, PERS, vol 72 n° 5 (May 2006)PermalinkSensor orientation via RPCs / Clive Simpson Fraser in ISPRS Journal of photogrammetry and remote sensing, vol 60 n° 3 (May 2006)Permalink