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Formulation of distortion error for the line-of-sight (LOS) vector adjustment model and its role in restitution of SPOT imagery / Hyung-Sup Jung in ISPRS Journal of photogrammetry and remote sensing, vol 63 n° 6 (November - December 2008)
[article]
Titre : Formulation of distortion error for the line-of-sight (LOS) vector adjustment model and its role in restitution of SPOT imagery Type de document : Article/Communication Auteurs : Hyung-Sup Jung, Auteur ; J.S. Won, Auteur Année de publication : 2008 Article en page(s) : pp 610 - 620 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s)
[Termes IGN] analyse comparative
[Termes IGN] capteur en peigne
[Termes IGN] erreur moyenne quadratique
[Termes IGN] image SPOT 5
[Termes IGN] ligne de visée
[Termes IGN] modèle d'erreur
[Termes IGN] orbite
[Termes IGN] orbite préciseRésumé : (Auteur) A recently developed line-of-sight (LOS) vector adjustment model is an effective geopositioning method for pushbroom images. A requirement for this method is that a predicted orbit be close to a true orbit. Although the method has proven very effective for SPOT 5, which has an accurate orbital control system, it was an open question whether or not the method could be effective for a satellite system with poor orbital accuracy. In this paper, a distortion error is defined and formulated as a common criterion for testing orbital requirements of a pushbroom system from the perspective of the LOS vector adjustment model. Using the distortion error, it is shown that a satellite system, even with poor locational accuracy comparable to SPOT 3–4, meets the orbital requirements as long as the maximum topographic height in the landscape is less than 4 km against the height level of the control points. A test was performed using three SPOT images and only five ground control points (GCPs). Results indicated that the root mean squared errors (RMSEs) of horizontal residual errors calculated from 30 check points were less than 10 m. The achieved accuracy of three-dimensional object-point determination was 6 m in the X-dimension and 7 m in both Y- and Z-dimensions. The conclusion can be drawn that the orbital requirements of this method can accommodate most space-borne systems, and therefore the LOS vector adjustment model is effective for SPOT and comparable pushbroom imagery. Copyright ISPRS Numéro de notice : A2008-434 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2008.03.002 En ligne : https://doi.org/10.1016/j.isprsjprs.2008.03.002 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29503
in ISPRS Journal of photogrammetry and remote sensing > vol 63 n° 6 (November - December 2008) . - pp 610 - 620[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-08061 SL Revue Centre de documentation Revues en salle Disponible Development and testing of a generic sensor model for pushbroom satellite imagery / T. Weser in Photogrammetric record, vol 23 n° 123 (September - November 2008)
[article]
Titre : Development and testing of a generic sensor model for pushbroom satellite imagery Type de document : Article/Communication Auteurs : T. Weser, Auteur ; Franz Rottensteiner, Auteur ; J. Willneff, Auteur ; et al., 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 255 - 274 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie spatiale
[Termes IGN] Bhoutan
[Termes IGN] capteur en peigne
[Termes IGN] correction géométrique
[Termes IGN] erreur systématique
[Termes IGN] espace image
[Termes IGN] espace objet
[Termes IGN] fonction spline
[Termes IGN] image ALOS-PRISM
[Termes IGN] image Quickbird
[Termes IGN] image SPOT 5
[Termes IGN] Melbourne
[Termes IGN] modélisation géométrique de prise de vue
[Termes IGN] orientation du capteur
[Termes IGN] test de performanceRésumé : (Auteur) A new generic pushbroom sensor model for high-resolution satellite images in which the orbit and attitudes are modelled by splines is presented. Direct observations for the satellite orbits and attitudes provided in imagery metadata files are used to determine the parameters of these splines. As such observations are contaminated by systematic errors, the new sensor model also incorporates error correction for the orbit and attitude angles. Camera model parameter definitions and file formats generally differ between satellite pushbroom scanners, and the system image- to object-space transformation models are not always compatible with a sensor model based on the familiar perspective model applied in photogrammetry. In order to make the new sensor model applicable to a large number of satellite imaging systems, these vendor-specific definitions are first mapped to the definitions of the new sensor model during data import. This is illustrated for QuickBird, SPOT 5 and ALOS PRISM imagery. The model has been extensively tested using imagery from these same three satellites, over test sites in Melbourne and Bhutan. The tests have shown that the new sensor model can produce georeferencing accuracy of 1 pixel and better when biases in orbit and attitude data are compensated. Copyright RS&PS + Blackwell Publishing Numéro de notice : A2008-392 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1111/j.1477-9730.2008.00489.x En ligne : https://doi.org/10.1111/j.1477-9730.2008.00489.x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29385
in Photogrammetric record > vol 23 n° 123 (September - November 2008) . - pp 255 - 274[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 106-08031 RAB Revue Centre de documentation En réserve L003 Disponible Orientation and self-calibration of ALOS PRISM imagery / S. Kocaman in Photogrammetric record, vol 23 n° 123 (September - November 2008)
[article]
Titre : Orientation and self-calibration of ALOS PRISM imagery Type de document : Article/Communication Auteurs : S. Kocaman, Auteur ; Armin W. Gruen, 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 323 - 340 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie spatiale
[Termes IGN] auto-étalonnage
[Termes IGN] capteur en peigne
[Termes IGN] compensation par faisceaux
[Termes IGN] détecteur à transfert de charge
[Termes IGN] élément d'orientation interne
[Termes IGN] erreur systématique
[Termes IGN] géoréférencement
[Termes IGN] image à très haute résolution
[Termes IGN] image ALOS-PRISM
[Termes IGN] modélisation géométrique de prise de vue
[Termes IGN] orientation d'image
[Termes IGN] pas d'échantillonnage au solRésumé : (Auteur) High-resolution satellite images (HRSI) at sub-5 m footprint are becoming increasingly available. A set of algorithms for processing of HRSI has been developed at the Institute of Geodesy and Photogrammetry (IGP), ETH Zurich and realised in a software suite called Satellite Image Precision Processing (SAT-PP). The software has been used for the processing of a number of high resolution satellite sensors, such as IKONOS, QuickBird, SPOT 5 HRS/HRG, Cartosat-1 and ALOS PRISM. PRISM is a panchromatic radiometer carried on board the Japanese ALOS satellite. It has three optical systems for forward, nadir and backward view with 2·5 m ground sample distance (GSD). The photogrammetric processing of PRISM imagery has special requirements owing to the linear array CCD sensor structure and special characteristics of the interior geometry and exterior orientation. As a member of the ALOS calibration/validation team, new algorithms for geometric processing of the PRISM images have been implemented at the IGP, in particular for the interior orientation and self-calibration. The physical sensor model in SAT-PP is refined according to the multiple camera heads of the sensor. The rigorous model for PRISM is based on a modified bundle adjustment with the possibility of using two different trajectory models. The self-calibration is introduced into the adjustment to model the systematic errors of the sensor and the system as a whole. The methods of georeferencing and digital surface model (DSM) generation were tested using the PRISM data-sets acquired over five different testfields. The rigorous sensor model performed well and resulted in sub-pixel accuracy for point positioning in all testfields. The self-calibration model has been tested in two different phases of the project separately. In the initial phase, where interior orientation data was not available, the use of the self-calibration was essential to achieve good accuracy. However, in the later phase the relative positions of the CCD chip detectors on the focal plane were provided by the Japan Aerospace Exploration Agency (JAXA) and the improvements by self-calibration became less significant. A detailed analysis of the DSM generation is presented in another publication. Copyright RS&PS + Blackwell Publishing Numéro de notice : A2008-396 Affiliation des auteurs : non IGN Thématique : IMAGERIE/POSITIONNEMENT Nature : Article DOI : 10.1111/j.1477-9730.2008.00493.x En ligne : https://doi.org/10.1111/j.1477-9730.2008.00493.x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=76551
in Photogrammetric record > vol 23 n° 123 (September - November 2008) . - pp 323 - 340[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 106-08031 RAB Revue Centre de documentation En réserve L003 Disponible A robust biased estimator for exterior orientation of linear array pushbroom satellite imagery / Y. Zhang in Geomatica, vol 62 n° 1 (March 2008)
[article]
Titre : A robust biased estimator for exterior orientation of linear array pushbroom satellite imagery Type de document : Article/Communication Auteurs : Y. Zhang, Auteur ; Q. Xu, Auteur ; J. Li, Auteur ; T. Wang, Auteur Année de publication : 2008 Article en page(s) : pp 33 - 44 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique
[Termes IGN] capteur en peigne
[Termes IGN] erreur systématique
[Termes IGN] estimateur
[Termes IGN] image SPOT
[Termes IGN] méthode des moindres carrés
[Termes IGN] méthode robuste
[Termes IGN] orientation externe
[Termes IGN] point d'appui
[Termes IGN] régressionRésumé : (Auteur) En raison de l'angle du champ très étroit du balayeur, pour l'imagerie obtenue à l'aide d'un balayeur à barrettes longitudinales à bord d'un satellite d'observation de la terre tel que SPOT, une haute corrélation de plusieurs paramètres d'orientation extérieure (par exemple, ceux en relation avec les lignes adjacentes à l'intérieur de l'imagerie SPOT) survient. Une telle corrélation a pour résultat des équations d'orientation extérieure difficiles à faire converger pour l'imagerie issue des balayeurs à barrettes longitudinales. Cet article présente un estimateur biaisé robuste, c'est-à-dire l'estimateur combiné ridge- Stein (CRS), dans le but de surmonter cet inconvénient. L'estimateur CRS combine les méthodes de régression de l'estimateur ridge et celles de l'estimateur Stein; il profite aussi de la méthode danoise de repérage d'erreurs. Des expériences démontrent que l'estimateur CRS surmonte non seulement la haute corrélation entre les paramètres d'orientation extérieure, mais converge beaucoup plus rapidement que l'estimateur Stein, la méthode de régression ridge et la méthode des moindres carrés. En outre, l'exactitude des résultats obtenus est inférieure à 1 pixel pour les points de contrôle directionnels au sol et est de l'ordre de 1,5 pixel pour les points de vérification au sol, respectivement, ce qui est beaucoup plus précis que les données obtenues avec les autres estimateurs mis à l'essai. De plus, l'estimateur CRS est plus robuste et a une plus grande efficacité lorsque vient le temps d'éliminer les erreurs, petites ou moyennes, qui se seraient glissées dans les observations. Copyright Geomatica Numéro de notice : A2008-280 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.5623/geomat-2008-0005 En ligne : https://cdnsciencepub.com/doi/abs/10.5623/geomat-2008-0005 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29273
in Geomatica > vol 62 n° 1 (March 2008) . - pp 33 - 44[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 035-08011 RAB Revue Centre de documentation En réserve L003 Disponible Comprehensive analysis of sensor modelling alternatives for high-resolution imaging satellites / A. Habib in Photogrammetric Engineering & Remote Sensing, PERS, vol 73 n° 11 (November 2007)
[article]
Titre : Comprehensive analysis of sensor modelling alternatives for high-resolution imaging satellites Type de document : Article/Communication Auteurs : A. Habib, Auteur ; S.W. Shin, Auteur ; Kamyoung Kim, Auteur ; et al., Auteur Année de publication : 2007 Article en page(s) : pp 1241 - 1251 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s)
[Termes IGN] capteur en peigne
[Termes IGN] élément d'orientation externe
[Termes IGN] élément d'orientation interne
[Termes IGN] géométrie de l'image
[Termes IGN] image Ikonos
[Termes IGN] modèle par fonctions rationnelles
[Termes IGN] orientation du capteur
[Termes IGN] point d'appuiRésumé : (Auteur) High-resolution imaging satellites are a valuable and cost effective data acquisition tool for a variety of mapping and GIS applications such as topographic mapping, map updating, orthophoto generation, environmental monitoring, and change detection. Sensor modeling that describes the mathematical relationship between corresponding scene and object coordinates is a prerequisite procedure prior to manipulating the acquired imagery from such systems for mapping purposes. Rigorous and approximate sensor models are the two alternatives for describing the mathematics of the involved imaging process. The former explicitly involves the internal and external characteristics of the imaging sensor to faithfully represent the geometry of the scene formation. On the other hand, approximate modeling can be divided into two categories. The first category simplifies the rigorous model after making some assumptions about the system’s trajectory and/or object space. Gupta and Hartley’s model, parallel projection, self-calibrating direct linear transformation, and modified parallel projection are examples of this category. Other approximate models are based on empirical formulation of the scene-to-ground mathematical relationship. This category includes among others, the well-known Rational Function Model (RFM). This paper addresses several aspects of sensor modeling. Namely, it deals with the expected accuracy from rigorous modeling of imaging satellites as it relates to the number of available ground control points, comparative analysis of approximate and rigorous sensor models, robustness of the reconstruction process against biases in the available sensor characteristics, and impact of incorporating multi-source imagery in a single triangulation mechanism. Following a brief theoretical background, these issues will be presented through experimental results from real datasets captured by satellite and aerial imaging platforms. Copyright ASPRS Numéro de notice : A2007-515 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.73.11.1241 En ligne : http://dx.doi.org/10.14358/PERS.73.11.1241 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28878
in Photogrammetric Engineering & Remote Sensing, PERS > vol 73 n° 11 (November 2007) . - pp 1241 - 1251[article]Airborne digital imaging technology: a new overview / Gordon Petrie in Photogrammetric record, vol 22 n° 119 (September - November 2007)PermalinkA rigorous laboratory calibration method for interior orientation of an airborne linear push-broom camera / Tianen Chen in Photogrammetric Engineering & Remote Sensing, PERS, vol 73 n° 4 (April 2007)PermalinkMERIS in-flight spectral calibration / S. Delwart in International Journal of Remote Sensing IJRS, vol 28 n°3-4 (February 2007)PermalinkRadiometric correction of hemispherical images / A. Kuusk in ISPRS Journal of photogrammetry and remote sensing, vol 61 n° 6 (February 2007)PermalinkAnalysis of rigorous orientation models for pushbroom sensors: applications with Quickbird / M. Crespi in Revue Française de Photogrammétrie et de Télédétection, n° 184 (Décembre 2006)PermalinkFurther advances in airborne digital imaging: several new imagers introduced at ASPRS / Gordon Petrie in Geoinformatics, vol 9 n° 5 (01/07/2006)PermalinkComparison of two physical sensor models for satellite images: position-rotation model and orbit-attitude model / T. Kim in Photogrammetric record, vol 21 n° 114 (June - August 2006)PermalinkMulti-image matching for DSM generation from Ikonos imagery / Li Zhang in ISPRS Journal of photogrammetry and remote sensing, vol 60 n° 3 (May 2006)PermalinkPermanent validation of the geometric calibration as a complement to MISR data production system / V. Jovanovic in Revue Française de Photogrammétrie et de Télédétection, n° 181 (Mars 2006)PermalinkPermalink