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Auteur F. Tsai |
Documents disponibles écrits par cet auteur (4)
Ajouter le résultat dans votre panier Affiner la recherche Interroger des sources externesvol V-5-2020 - August 2020 - [Actes] XXIV ISPRS virtual Congress, Commission 5, 31th August-2nd September 2020, Nice, France (Bulletin de ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences) / Nicolas Paparoditis
est un bulletin de ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences / International society for photogrammetry and remote sensing (1980 -) (2012 - )
Titre : vol V-5-2020 - August 2020 - [Actes] XXIV ISPRS virtual Congress, Commission 5, 31th August-2nd September 2020, Nice, France Type de document : Périodique Auteurs : Nicolas Paparoditis Année de publication : 2020 Langues : Anglais (eng) Numéro de notice : sans Affiliation des auteurs : non IGN Nature : Numéro de périodique En ligne : https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/V-5-2020/ Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=bulletin_display&id=32714 [n° ou bulletin]Striping noise detection and correction of remote sensing images / F. Tsai in IEEE Transactions on geoscience and remote sensing, vol 46 n° 12 (December 2008)
Titre : Striping noise detection and correction of remote sensing images Type de document : Article/Communication Auteurs : F. Tsai, Auteur ; W. Chen, Auteur Année de publication : 2008 Article en page(s) : pp 4122 - 4131 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] délignage
[Termes IGN] filtrage du bruit
[Termes IGN] filtre de Canny
[Termes IGN] fonction spline d'interpolation
[Termes IGN] image numérique
[Termes IGN] niveau de gris (image)Résumé : (Auteur) This paper presents an image destriping system for correcting striping noise of remote-sensing images. The developed system identifies stripe positions based on edge-detection and line-tracing algorithms. Pixels not affected by striping are used as control points to construct cubic spline functions describing spatial gray level distributions of an image. Detected stripes are corrected by replacing the pixels with more reasonable gray values computed from constructed spline functions. Gray values of clean pixels not affected by stripes are not altered to preserve data genuineness. Several experimental results demonstrate that the developed system can correctly detect stripes in remote-sensing images and effectively repair them. Evaluations of the results based on an quantitative image quality index indicate that the image quality has been improved significantly after destriping. The destriped images are not only visually more plausible but also can provide better interpretability and are more suitable for computerized analysis. Copyright IEEE Numéro de notice : A2008-486 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2008.2000646 En ligne : https://doi.org/10.1109/TGRS.2008.2000646 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29555
in IEEE Transactions on geoscience and remote sensing > vol 46 n° 12 (December 2008) . - pp 4122 - 4131[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 065-08121 RAB Revue Centre de documentation En réserve L003 Disponible
Titre : Polygon-based texture mapping for cyber city 3D building models Type de document : Article/Communication Auteurs : F. Tsai, Auteur ; H.C. Lin, Auteur Année de publication : 2007 Article en page(s) : pp 965 - 981 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] bati
[Termes IGN] modèle 3D de l'espace urbain
[Termes IGN] mosaïque d'images
[Termes IGN] photographie numérique
[Termes IGN] polygone
[Termes IGN] prise de vue terrestre
[Termes IGN] réalité virtuelle
[Termes IGN] texturage
[Termes IGN] texture d'imageRésumé : (Auteur) The three-dimensional building model is one of the most important components in a cyber city implementation. Currently, however, most building models do not have sufficient and accurate texture information. The lack of texture not only makes 3D building models less realistic in visualization, it may also fail to provide needed information in intricate applications. This study developed a polygon-based texture mapping system to produce near photo-realistic texture mappings for 3D building models. Textures of building exteriors were generated from mosaics of close-range photographs acquired with commodity digital cameras. The developed system integrated multiple digital photographs to create texture mosaics that were continuous in geometric outlines and smooth in colour shadings, and correctly mapped them onto corresponding building model façades. A test example demonstrated that the resultant building model had more complete and accurate texture features as well as a near-photo-realistic appearance. Copyright Taylor & Francis Numéro de notice : A2007-552 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1080/13658810601034929 En ligne : https://doi.org/10.1080/13658810601034929 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28915
in International journal of geographical information science IJGIS > vol 21 n° 9-10 (october 2007) . - pp 965 - 981[article]Exemplaires(2)
Code-barres Cote Support Localisation Section Disponibilité 079-07061 RAB Revue Centre de documentation En réserve L003 Disponible 079-07062 RAB Revue Centre de documentation En réserve L003 Disponible
Titre : A derivative-aided hyperspectral image analysis system for land-cover classification Type de document : Article/Communication Auteurs : F. Tsai, Auteur ; W.D. Philpot, Auteur Année de publication : 2002 Article en page(s) : pp 416 - 425 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse de données
[Termes IGN] classification dirigée
[Termes IGN] image hyperspectrale
[Termes IGN] occupation du solRésumé : (Auteur) The large number of spectral bands in hyperspectral data seriously complicates their use for classification. Selection of a useful subset of bands or derived features (spectral ratios, differences, derivatives) is always desirable, strongly affects the accuracy of the classification, and is often a practical necessity to keep the processing speed and memory requirements under control. This paper examines one possible procedure for selecting spectral derivatives to improve supervised classification of hyperspectral images. The procedure is designed to identify derivative features that are more effective at separating target classes and then add them to a base subset of features for classification. The goal is to create the smallest set of features that will result in the best classification result. A key issue in this process is the interplay of the number of features and the size of the training data sets since classification accuracy declines if the dimensionality of the feature space is too large relative to the number of training samples. Numéro de notice : A2002-100 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/36.992805 En ligne : https://doi.org/10.1109/36.992805 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22015
in IEEE Transactions on geoscience and remote sensing > vol 40 n° 2 (February 2002) . - pp 416 - 425[article]Exemplaires(2)
Code-barres Cote Support Localisation Section Disponibilité 065-02021 RAB Revue Centre de documentation En réserve L003 Disponible 065-02022 RAB Revue Centre de documentation En réserve L003 Disponible
