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Auteur Aleš Marsetič |
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Automatic orthorectification of high-resolution optical satellite images using vector roads / Aleš Marsetič in IEEE Transactions on geoscience and remote sensing, vol 53 n° 11 (November 2015)
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Titre : Automatic orthorectification of high-resolution optical satellite images using vector roads Type de document : Article/Communication Auteurs : Aleš Marsetič, Auteur ; Krištof Oštir, Auteur ; Mojca Kosmatin-Fras, Auteur Année de publication : 2015 Article en page(s) : pp 6035 - 6047 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] capteur en peigne
[Termes IGN] chaîne de traitement
[Termes IGN] colinéarité
[Termes IGN] élément d'orientation externe
[Termes IGN] estimation de position
[Termes IGN] extraction de données
[Termes IGN] géoréférencement
[Termes IGN] image RapidEye
[Termes IGN] modélisation géométrique de prise de vue
[Termes IGN] orthorectification automatique
[Termes IGN] système de coordonnéesRésumé : (Auteur) This paper presents a completely automatic processing chain for orthorectification of optical pushbroom sensors. The procedure is robust and works without manual intervention from raw satellite image to orthoimage. It is modularly divided in four main steps: metadata extraction, automatic ground control point (GCP) extraction, geometric modeling, and orthorectification. The GCP extraction step uses georeferenced vector roads as a reference and produces a file with a list of points and their accuracy estimation. The physical geometric model is based on collinearity equations and works with sensor-corrected (level 1) optical satellite images. It models the sensor position and attitude with second-order piecewise polynomials depending on the acquisition time. The exterior orientation parameters are estimated in a least squares adjustment, employing random sample consensus and robust estimation algorithms for the removal of erroneous points and fine-tuning of the results. The images are finally orthorectified using a digital elevation model and positioned in a national coordinate system. The usability of the method is presented by testing three RapidEye images of regions with different terrain configurations. Several tests were carried out to verify the efficiency of the procedure and to make it more robust. Using the geometric model, subpixel accuracy on independent check points was achieved, and positional accuracy of orthoimages was around one pixel. The proposed procedure is general and can be easily adapted to various sensors. Numéro de notice : A2015-772 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2015.2431434 Date de publication en ligne : 01/06/2015 En ligne : https://doi.org/10.1109/TGRS.2015.2431434 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=78828
in IEEE Transactions on geoscience and remote sensing > vol 53 n° 11 (November 2015) . - pp 6035 - 6047[article]Exemplaires(1)
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