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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
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Geometric accuracy assessment of QuickBird basic imagery using different operational approaches / M. Aguilar in Photogrammetric Engineering & Remote Sensing, PERS, vol 73 n° 12 (December 2007)
[article]
Titre : Geometric accuracy assessment of QuickBird basic imagery using different operational approaches Type de document : Article/Communication Auteurs : M. Aguilar, Auteur ; F. Aguilar, Auteur ; F. Aguera, Auteur ; Jaime Sanchez, Auteur Année de publication : 2007 Article en page(s) : pp 1321 - 1332 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s)
[Termes IGN] analyse comparative
[Termes IGN] correction géométrique
[Termes IGN] données localisées 3D
[Termes IGN] erreur moyenne quadratique
[Termes IGN] image à très haute résolution
[Termes IGN] image Quickbird
[Termes IGN] modèle numérique de surface
[Termes IGN] modèle par fonctions rationnelles
[Termes IGN] modèle physique
[Termes IGN] orientation du capteur
[Termes IGN] orthoimage
[Termes IGN] point d'appui
[Termes IGN] précision géométrique (imagerie)Résumé : (Auteur) The new very high-resolution space satellite images, such as QuickBird and Ikonos, open new possibilities in cartographic applications. This work has as its main aim the assessment of a methodology to achieve the best possible geometric accuracy in orthorectified imagery products obtained from QuickBird basic imagery which will include an assessment of the methodology’s reliability. Root Mean Square Error (RMSE), mean error or bias, and maximum error in 79 independent check points are computed and utilized as accuracy indicators. The ancillary data were generated by high accuracy methods: (a) check and control points were measured with a differential global positioning system, and (b) a dense digital elevation model (DEM) with grid spacing of 2 m and RMSEz of about 0.31 m generated from a photogrammetric aerial flight at an approximate scale of 1:5000 that was used for image orthorectification. Two other DEMs with a grid spacing of 5 m (RMSEz = 1.75 m) and 20 m (RMSEz = 5.82 m) were also used. Four 3D geometric correction models were used to correct the satellite data: two terrain-independent rational function models refined by the user, a terrain-dependent model, and a rigorous physical model. The number and distribution of the ground control points (GCPs) used for the sensor orientation were studied as well, testing from 9 to 45 GCPs. The best results obtained about the geometric accuracy of the orthorectified images (two dimensional RMSE of about 0.74 m) were computed when the dense DEM was used with the 3D physical and terrain-dependent models. The use of more than 18 GCPs does not improve the results when those GCPs are extracted by stratified random sampling. Copyright ASPRS Numéro de notice : A2007-541 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.73.12.1321 En ligne : http://dx.doi.org/10.14358/PERS.73.12.1321 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28904
in Photogrammetric Engineering & Remote Sensing, PERS > vol 73 n° 12 (December 2007) . - pp 1321 - 1332[article]Rational function model for sensor orientation of IRS-P6 LISS-4 imagery / V. Nagasubramanian in Photogrammetric record, vol 22 n° 120 (December 2007 - February 2008)
[article]
Titre : Rational function model for sensor orientation of IRS-P6 LISS-4 imagery Type de document : Article/Communication Auteurs : V. Nagasubramanian, Auteur ; P. Radhadevi, Auteur ; R. Ramachandran, Auteur ; R. Krishnan, Auteur Année de publication : 2007 Article en page(s) : pp 309 - 320 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s)
[Termes IGN] géométrie de l'image
[Termes IGN] géoréférencement direct
[Termes IGN] image IRS-LISS
[Termes IGN] modèle par fonctions rationnelles
[Termes IGN] orientation du capteur
[Termes IGN] point d'appuiRésumé : (Auteur) This paper explores the application of a rational function model (RFM) as a replacement sensor model for IRS-P6 LISS-4 imagery. The rational polynomial coefficients (RPCs), initially generated using a rigorous sensor model (RSM) through direct georeferencing, are bias-compensated with a minimum number of ground control points and are used for various photogrammetric applications such as digital elevation model and ortho-image generation. The performance of RFM and RSM is compared in the sensor modelling of LISS-4 imagery over long strips. Results show that accuracies achieved using RFM are within 1 pixel (worst case) of the accuracies derived using RSM. Error variation as a function of the number of quasi-control points (anchor points) used for RFM fitting as well as model errors with respect to the length of the image strip are analysed. System-level accuracy does not deteriorate when the RFM is fitted up to a length of 1200 km. Absolute positioning accuracy of 1·5 pixels (~9 m) is achieved from bias-compensated RPCs. The results demonstrate the potential of RFM as a replacement sensor model. This allows standardisation of product generation packages to handle multiple sensors. Copyright RS&PS + Blackwell Publishing Numéro de notice : A2007-567 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1111/j.1477-9730.2007.00447.x En ligne : https://doi.org/10.1111/j.1477-9730.2007.00447.x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28930
in Photogrammetric record > vol 22 n° 120 (December 2007 - February 2008) . - pp 309 - 320[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 106-07041 Revue Centre de documentation Revues en salle 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]Orthogonal 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)
[article]
Titre : Orthogonal polynomials supported by regional growing segmentation for the extraction of terrain from lidar data Type de document : Article/Communication Auteurs : N.A. Akel, Auteur ; S. Filin, Auteur ; Y. Doytsher, Auteur Année de publication : 2007 Article en page(s) : pp 1253 - 1266 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] décomposition
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] filtrage du rayonnement
[Termes IGN] fonction régionalisée
[Termes IGN] modèle numérique de terrain
[Termes IGN] modèle par fonctions rationnelles
[Termes IGN] segmentationRésumé : (Auteur) Light Detection and Ranging (lidar) systems supply a massive amount points in 3D space with no semantic information helping knowing the objects they represent. To identify points that were reflected from the terrain, numerous algorithms have been developed in recent years. Many of them apply local operators that tend to face difficulties with complex scenes while their performance also varies between landscapes. In this paper, we present a filtering method that integrates a global approach using orthogonal polynomials with a local one that is region-based. The algorithm makes use of only a few parameters, and no fine-tuning is required between landscapes. Applying the algorithm over areas with varying topography and objects such as bridges, tunnels, and complex building, shows an improved performance compared to results obtained by others. This improvement is reflected in a lower than usual rate of misclassification errors for data acquired over different landscapes. Copyright ASPRS Numéro de notice : A2007-516 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.73.11.1253 En ligne : https://doi.org/10.14358/PERS.73.11.1253 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28879
in Photogrammetric Engineering & Remote Sensing, PERS > vol 73 n° 11 (November 2007) . - pp 1253 - 1266[article]Integration of Ikonos and Quickbird imagery for geopositioning accuracy analysis / R. Li in Photogrammetric Engineering & Remote Sensing, PERS, vol 73 n° 9 (September 2007)
[article]
Titre : Integration of Ikonos and Quickbird imagery for geopositioning accuracy analysis Type de document : Article/Communication Auteurs : R. Li, Auteur ; F. Zhou, Auteur ; X. Niu, Auteur ; K. Di, Auteur Année de publication : 2007 Article en page(s) : pp 1067 - 1074 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] couple stéréoscopique
[Termes IGN] données de terrain
[Termes IGN] Floride (Etats-Unis)
[Termes IGN] fusion d'images
[Termes IGN] géopositionnement tridimensionnel
[Termes IGN] image Ikonos
[Termes IGN] image Quickbird
[Termes IGN] modèle par fonctions rationnelles
[Termes IGN] précision géométrique (imagerie)Résumé : (Auteur) This research investigated the accuracy in three-dimensional (3D) geopositioning achieved by integrating Ikonos and QuickBird images using the vendor-provided rational polynomial coefficients (RPCs). One pair of stereo Ikonos images and one pair of stereo QuickBird images were collected for the same region of Tampa Bay, Florida, and used in this study. Results of 3D geopositioning from different combinations of Ikonos and QuickBird stereo images were generated by using an improved rational function model (RFM). The relationship between the satellite-borne pointing geometry and the attainable ground accuracy is examined. This research demonstrates that the integration of Ikonos and QuickBird images is feasible and can improve the 3D geopositioning accuracy using a proper combination of images. Copyright ASPRS Numéro de notice : A2007-414 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : sans En ligne : https://www.researchgate.net/publication/279621130_Integration_of_Ikonos_and_Qui [...] Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28777
in Photogrammetric Engineering & Remote Sensing, PERS > vol 73 n° 9 (September 2007) . - pp 1067 - 1074[article]3D 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)Permalinkn° 184 - Décembre 2006 - Des capteurs à l'imagerie : symposium ISPRS commission technique 1, [actes], Marne la Vallée, 3 - 6 juillet 2006. WG 1/5 Geometric modelling of optical spaceborne sensors and DEM generation (Bulletin de Revue Française de Photogrammétrie et de Télédétection) / Société française de photogrammétrie et de télédétectionPermalinkPros 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)PermalinkRational function model-based image matching for digital elevation models / H.G. Sohn in Photogrammetric record, vol 20 n° 112 (December 2005 - February 2006)PermalinkBias-compensated RPCs [rational polynomial coefficient] for sensor orientation of high-resolution satellite imagery / Clive Simpson Fraser in Photogrammetric Engineering & Remote Sensing, PERS, vol 71 n° 8 (August 2005)PermalinkMapping of Quickbird images using the RPC [rational polynomial coefficient] method : improvement in accuracy since release of first Quickbird data / Penggen Cheng in Geoinformatics, vol 8 n° 4 (01/06/2005)PermalinkSpatial 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)PermalinkAutomatic determination of the optimum generic sensor model based on genetic algorithm concepts / F. Samadzadegan in Photogrammetric Engineering & Remote Sensing, PERS, vol 71 n° 3 (March 2005)Permalink