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Image fusion by spatially adaptive filtering using downscaling cokriging / E. Pardo-Iguzquiza in ISPRS Journal of photogrammetry and remote sensing, vol 66 n° 3 (May - June 2011)
[article]
Titre : Image fusion by spatially adaptive filtering using downscaling cokriging Type de document : Article/Communication Auteurs : E. Pardo-Iguzquiza, Auteur ; V. Rodriguez-Galiano, Auteur ; V. Chica-Olmo, Auteur ; P. Atkinson, Auteur Année de publication : 2011 Article en page(s) : pp 337 - 346 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] filtrage numérique d'image
[Termes IGN] fusion d'images
[Termes IGN] image Landsat-TM
[Termes IGN] interpolation non-linéaire
[Termes IGN] krigeage
[Termes IGN] lissage de données
[Termes IGN] qualité géométrique (image)Résumé : (Auteur) The aim of this paper was to extend the method of downscaling cokriging for image fusion by making the method spatially adaptive in that the filter parameters (cokriging weights) can change across the image. The method can adapt itself to the usual statistical non-homogeneity (spatially variable mean, variance and correlation length) of a satellite sensor image that covers an area with different spatial patterns of geographical objects or different terrain types. The solution adopted was to estimate the models of covariances and cross-covariances (or semivariograms and cross-semivariograms) by the same procedure as described in Pardo-Iguzquiza et al. (2006) but with the method applied locally instead of globally. The correct implementation of this local estimation is the key for computational feasibility and prediction efficiency. Two parameters to be taken into account are the grid of locations on which a moving window is centred (local modelling is performed inside this window) and the size of this moving window. With respect to the latter parameter, there is a trade-off between a size small enough to make the procedure locally adaptive and large enough to produce reliable statistical estimates. The computational burden will impose limits to the distance between grid points on which the local moving window is centred. A case study with Landsat ETM+ images was used to show the implementation of the method and the result was evaluated using several statistics widely used for assessing the quality of a fused image, apart from its visual appearance. Numéro de notice : A2011-116 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2011.01.001 En ligne : https://doi.org/10.1016/j.isprsjprs.2011.01.001 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30896
in ISPRS Journal of photogrammetry and remote sensing > vol 66 n° 3 (May - June 2011) . - pp 337 - 346[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-2011031 SL Revue Centre de documentation Revues en salle Disponible Journées de la recherche [IGN] / Anonyme in Géomatique expert, n° 79 (01/03/2011)
[article]
Titre : Journées de la recherche [IGN] Type de document : Article/Communication Auteurs : Anonyme, Auteur Année de publication : 2011 Article en page(s) : pp 14 - 23 Langues : Français (fre) Descripteur : [Vedettes matières IGN] Géomatique
[Termes IGN] base de données vectorielles
[Termes IGN] caméra numérique
[Termes IGN] façade
[Termes IGN] généralisation automatique de données
[Termes IGN] géodésie spatiale
[Termes IGN] gravimétrie
[Termes IGN] Lidar
[Termes IGN] modélisation 3D
[Termes IGN] optimisation (mathématiques)
[Termes IGN] précision géométrique (imagerie)
[Termes IGN] recherche scientifique
[Termes IGN] signalisation routière
[Termes IGN] station GPSRésumé : (Auteur) Comme chaque année, l'IGN donnait rendez-vous aux chercheurs de ses quatre laboratoires pour présenter leurs recherches. Un rendez-vous attendu chaque année par l'ensemble de la communauté géomatique universitaire française. Numéro de notice : A2011-120 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30900
in Géomatique expert > n° 79 (01/03/2011) . - pp 14 - 23[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 265-2011021 RAB Revue Centre de documentation En réserve L003 Disponible IFN-001-P001267 PER Revue Nogent-sur-Vernisson Salle périodiques Exclu du prêt Quality analysis on 3D building models reconstructed from airborne laser scanning data / Sander J. Elberink in ISPRS Journal of photogrammetry and remote sensing, vol 66 n° 2 (March - April 2011)
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Titre : Quality analysis on 3D building models reconstructed from airborne laser scanning data Type de document : Article/Communication Auteurs : Sander J. Elberink, Auteur ; M. George Vosselman, Auteur Année de publication : 2011 Article en page(s) : pp 157 - 165 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] données laser
[Termes IGN] hauteur du bâti
[Termes IGN] mesure de la qualité
[Termes IGN] modélisation 3D
[Termes IGN] précision géométrique (imagerie)
[Termes IGN] qualité des données
[Termes IGN] reconstruction 3D du bâtiRésumé : (Auteur) This paper presents a method to assess the geometric quality of 3D building models. The quality depends on properties of the input data and the processing steps. Insight in the quality of 3D models is important for users to judge whether the models can be used in their specific applications. Without a proper quality description it is likely that the building models are either treated as correct or considered as useless because the quality is unknown. In our research we analyse how the quality parameters of the input data affect the quality of the 3D models. The 3D models have been reconstructed from dense airborne laser scanner data of about 20 pts/m2. A target based graph matching approach has been used to relate specific data features to general building knowledge. The paper presents a theoretical and an empirical approach to identify strong parts and shortcomings in 3D building models reconstructed from airborne laser scanning data without the use of reference measurements. Our method is tested on three different scenes to show that a proper quality description is essential to correctly judge the quality of the models. Numéro de notice : A2011-070 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2010.09.009 En ligne : https://doi.org/10.1016/j.isprsjprs.2010.09.009 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30851
in ISPRS Journal of photogrammetry and remote sensing > vol 66 n° 2 (March - April 2011) . - pp 157 - 165[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-2011021 SL Revue Centre de documentation Revues en salle Disponible 3D building model reconstruction from multi-view aerial imagery and Lidar data / Liang Cheng in Photogrammetric Engineering & Remote Sensing, PERS, vol 77 n° 2 (February 2011)
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Titre : 3D building model reconstruction from multi-view aerial imagery and Lidar data Type de document : Article/Communication Auteurs : Liang Cheng, Auteur ; J. Gong, Auteur ; M. Li, Auteur ; Y. Liu, Auteur Année de publication : 2011 Article en page(s) : pp 125 - 139 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] contour
[Termes IGN] données lidar
[Termes IGN] données multisources
[Termes IGN] image aérienne
[Termes IGN] intégration de données
[Termes IGN] précision géométrique (imagerie)
[Termes IGN] reconstruction 3D du bâtiRésumé : (Auteur) A novel approach by integrating multi-view aerial imagery and lidar data is proposed to reconstruct 3D building models with accurate geometric position and fine details. First, a new algorithm is introduced for determination of principal orientations of a building, thus benefiting to improve the correctness and robustness of boundary segment extraction in aerial imagery. A new dynamic selection strategy based on lidar point density analysis and K-means clustering is then proposed to identify boundary segments from non-boundary segments. Second, 3D boundary segments are determined by incorporating lidar data and the 2D segments extracted from multi-view imagery. Finally, a new strategy for 3D building model reconstruction including automatic recovery of lost boundaries and robust reconstruction of rooftop patches is introduced. The experimental results indicate that the proposed approach can provide high quality 3D models with high-correctness, high-completeness, and good geometric accuracy. Numéro de notice : A2011-045 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.77.2.125 En ligne : https://doi.org/10.14358/PERS.77.2.125 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30826
in Photogrammetric Engineering & Remote Sensing, PERS > vol 77 n° 2 (February 2011) . - pp 125 - 139[article]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 DGPF projec t: evaluation of digital photogrammetric aerial-based imaging systems: overview and results from the pilot center / Michael Cramer in Photogrammetric Engineering & Remote Sensing, PERS, vol 76 n° 9 (September 2010)PermalinkA digital medium-format camera for metric applications: Alpa 12 metric / D. Rieke-Zapp in Photogrammetric record, vol 25 n° 131 (September - November 2010)PermalinkQualité, résolution, précision... Bienvenue dans un monde imparfait / Françoise de Blomac in SIG la lettre, n° 116 (avril 2010)PermalinkIn-flight quality assessment and data processing for airborne laser scanning / Philipp Schaer (2010)PermalinkInfluence of image characteristics on image quality / T. Royer (2010)PermalinkTesting aerial digital cameras / R. Kathofer in GIM international, vol 24 n° 1 (January 2010)PermalinkComparative geometric and radiometric evaluation of mobile phone and still video cameras / Devrim Akca in Photogrammetric record, vol 24 n° 127 (September - November 2009)PermalinkTesting measurement accuracy in oblique photography using Pixo View technology / J. Sukup in Geoinformatics, vol 12 n° 5 (01/07/2009)PermalinkQuality assessment for GPS-supported bundle block adjustment based on aerial digital frame imagery / X. Yuan in Photogrammetric record, vol 24 n° 126 (June - August 2009)Permalinkvol 64 n° 3 - May - June 2009 - Image analysis and image engineering in close range photogrammetry (Bulletin de ISPRS Journal of photogrammetry and remote sensing) / Hans-Gerd MaasPermalink