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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]Reflectance estimation from urban terrestrial images: validation of a symbolic ray-tracing method on synthetic data / Fabien Coubard (2011)
contenu dans Photogrammetric image analysis PIA 11, Munich, Germany, October 5-7, 2011 / Uwe Stilla (2011)
Titre : Reflectance estimation from urban terrestrial images: validation of a symbolic ray-tracing method on synthetic data Type de document : Article/Communication Auteurs : Fabien Coubard , Auteur ; Mathieu Brédif , Auteur ; Nicolas Paparoditis , Auteur ; Xavier Briottet , Auteur Editeur : International Society for Photogrammetry and Remote Sensing ISPRS Année de publication : 2011 Collection : International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, ISSN 1682-1750 num. 38-3/W22 Conférence : PIA 2011, ISPRS Conference on Photogrammetric Image Analysis 05/10/2011 07/10/2011 Munich Allemagne OA ISPRS Archives Importance : pp 71 - 76 Format : 21 x 30 cm Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] correction radiométrique
[Termes IGN] distribution du coefficient de réflexion bidirectionnelle BRDF
[Termes IGN] éclairement lumineux
[Termes IGN] image numérique
[Termes IGN] image terrestre
[Termes IGN] itération
[Termes IGN] lancer de rayons
[Termes IGN] modèle géométrique de prise de vue
[Termes IGN] problème inverse
[Termes IGN] réflectance spectrale
[Termes IGN] scène urbaineRésumé : (auteur) Terrestrial geolocalized images are nowadays widely used on the Internet, mainly in urban areas, through immersion services such as Google Street View. On the long run, we seek to enhance the visualization of these images. For that purpose, radiometric corrections must be performed to free them from illumination conditions at the time of acquisition. Given the simultaneously acquired 3D geometric model of the scene with LIDAR or vision techniques, we face an inverse problem where the illumination and the geometry of the scene are known and the reflectance of the scene is to be estimated. Our main contribution is the introduction of a symbolic ray-tracing rendering to generate parametric images, for quick evaluation and comparison with the acquired images. The proposed approach is then based on an iterative estimation of the reflectance parameters of the materials, using a single rendering pre-processing. We validate the method on synthetic data with linear BRDF models and discuss the limitations of the proposed approach with more general non-linear BRDF models. Numéro de notice : C2011-037 Affiliation des auteurs : MATIS+Ext (1993-2011) Thématique : IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.5194/isprsarchives-XXXVIII-3-W22-71-2011 Date de publication en ligne : 26/04/2013 En ligne : https://doi.org/10.5194/isprsarchives-XXXVIII-3-W22-71-2011 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=92341 Documents numériques
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Reflectance estimation... - pdf éditeurAdobe Acrobat PDF Photogrammetric modeling of underwater environments / G. Telem in ISPRS Journal of photogrammetry and remote sensing, vol 65 n° 5 (September - October 2010)
[article]
Titre : Photogrammetric modeling of underwater environments Type de document : Article/Communication Auteurs : G. Telem, Auteur ; S. Filin, Auteur Année de publication : 2010 Article en page(s) : pp 433 - 444 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s)
[Termes IGN] correction géométrique
[Termes IGN] distorsion d'image
[Termes IGN] étalonnage de chambre métrique
[Termes IGN] modèle géométrique de prise de vue
[Termes IGN] photogrammétrie sous-marine
[Termes IGN] réfraction de l'eauRésumé : (Auteur) Underwater photogrammetry provides an efficient nondestructive means for measurement in environments with limited accessibility. With the growing use of consumer cameras, its application is becoming easier, thus benefiting a wide variety of disciplines. However, utilizing cameras for underwater photogrammetry poses some nontrivial modeling problems due to refraction effect and the extension of the imaging system into a unit of both the camera and the protecting housing device. This paper studies the effect that the underwater environment has on the photogrammetric process, and proposes a model for describing the geometric distortions and for estimating the additional parameters involved. The proposed model accounts not only for the multimedia effect, but also for inaccuracies related to the setting of the camera and housing device. The paper shows that only a small number of additional parameters is needed to model both elements and to preserve the collinearity relation. The results show that no unique setup is needed for estimating the additional parameters and that the estimation is insensitive to noise or first approximations. Experiments show that high levels of accuracy can be achieved. Numéro de notice : A2010-446 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2010.05.004 En ligne : https://doi.org/10.1016/j.isprsjprs.2010.05.004 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30639
in ISPRS Journal of photogrammetry and remote sensing > vol 65 n° 5 (September - October 2010) . - pp 433 - 444[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-2010051 SL Revue Centre de documentation Revues en salle Disponible An integrated bundle adjustment approach to range camera geometric self-calibration / Derek D. Lichti in ISPRS Journal of photogrammetry and remote sensing, vol 65 n° 4 (July - August 2010)
[article]
Titre : An integrated bundle adjustment approach to range camera geometric self-calibration Type de document : Article/Communication Auteurs : Derek D. Lichti, Auteur ; C. Kim, Auteur ; S. Jamtsho, Auteur Année de publication : 2010 Article en page(s) : pp 360 - 368 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s)
[Termes IGN] auto-étalonnage
[Termes IGN] compensation par faisceaux
[Termes IGN] erreur systématique
[Termes IGN] étalonnage de chambre métrique
[Termes IGN] étalonnage géométrique
[Termes IGN] modèle géométrique de prise de vue
[Termes IGN] résiduRésumé : (Auteur) This paper describes a new method for integrated range camera system self-calibration in which both traditional camera calibration parameters and rangefinder systematic error parameters are estimated simultaneously in a free-network bundle adjustment of observations to signalised targets. Its mathematical basis is collinearity and range observation equations augmented with correction models for systematic error sources identified in the data. The self-calibration results from datasets captured with two different range cameras, a SwissRanger SR3000 and a SwissRanger SR4000, are presented and analysed in detail. The method’s effectiveness is demonstrated in terms of systematic error removal and independent accuracy assessment. Up to a 54% reduction in the residual RMS was achieved by inclusion of the proposed error models in the self-calibration adjustment. An improvement of at least 74% in the RMS of object point co-ordinate differences, over that achieved without calibration or provided by the manufacturer’s software (in the case of the SR3000), was realised in an independent accuracy assessment. In addition, the effects of several influencing variables, including the range stochastic error model, the network geometry and the range measurements themselves, on key correlation mechanisms are analysed in detail. Numéro de notice : A2010-296 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2010.04.002 En ligne : https://doi.org/10.1016/j.isprsjprs.2010.04.002 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30490
in ISPRS Journal of photogrammetry and remote sensing > vol 65 n° 4 (July - August 2010) . - pp 360 - 368[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-2010041 SL Revue Centre de documentation Revues en salle Disponible Evaluation of the RPC model for spaceborne SAR imagery / G. Zhang in Photogrammetric Engineering & Remote Sensing, PERS, vol 76 n° 6 (June 2010)PermalinkPositional Accuracy Evaluation of Declassified Hexagon KH-9 Mapping Camera Imagery / A. Surazakov in Photogrammetric Engineering & Remote Sensing, PERS, vol 76 n° 5 (May 2010)PermalinkAn alternative source of very high-resolution imagery: the Resurs-DK1 satellite / Gordon Petrie in Geoinformatics, vol 13 n° 3 (01/04/2010)PermalinkGeneric method for RPC refinement using ground control information / Z. Xiong in Photogrammetric Engineering & Remote Sensing, PERS, vol 75 n° 9 (September 2009)PermalinkSensor modelling and validation for linear array aerial and satellite imagery / Sultan Aksakal Kocaman (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)PermalinkIn-flight geometric calibration of different cameras of IRS-P6 using a physical sensor model / P. Radhadevi in Photogrammetric record, vol 23 n° 121 (March - May 2008)PermalinkPotential of Cartosat-1 images for topographic mapping / Costas Armenakis in Geomatica, vol 62 n° 1 (March 2008)PermalinkImagerie spatiale / P. Lier (2008)Permalink