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Multispectral Thermal Imager: mission and applications overview / J.J. Szymanski in IEEE Transactions on geoscience and remote sensing, vol 43 n° 9 (September 2005)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 43 n° 9 (September 2005) . - pp 1943 - 1949 Titre : Multispectral Thermal Imager: mission and applications overview Type de document : Article/Communication Auteurs : J.J. Szymanski, Auteur ; Paul Weber, Auteur Année de publication : 2005 Article en page(s) : pp 1943 - 1949 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s) [Termes IGN] aérosol [Termes IGN] analyse multibande [Termes IGN] Multispectral thermal imager [Termes IGN] radiance [Termes IGN] réalité de terrain [Termes IGN] télédétection spatiale [Termes IGN] température de surface [Termes IGN] validité des données Résumé : (Auteur) The Multispectral Thermal Imager (MTI) satellite is a research and development project sponsored by the U.S. Department of Energy. The primary mission is to demonstrate advanced muItispectral and thermal imaging from a satellite, including new technologies, data processing, and analysis techniques and validation by reference to ground truth. The MTI builds on the effort, of a number of earlier efforts, including Landsat, National Aeronautics and Space Administration remote sensing missions, and others, but the MTI incorporates a unique combination of attributes designed to advance the state of the art. The MTI satellite, launched on March 12.2000 into a 580 km x 610 km, sunsynchr onous orbit with nominal 1 A.M. and 1 P.M. equatorial crossing times. The Air Force Space Test Program provided the Orbital Sciences Taurus launch. The satellite-based sensors obtain radiance data that are subsequently processed into measurements of atmospheric and surface properties such as column water vapor, atmospheric aerosol loading, surface temperatures, material composition, and others. This paper provides an overview of the MTI research objectives, design, operations, data products, and data processing and analysis. Several other papers provide greater detail on selected topics. Numéro de notice : A2005-387 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2005.852079 En ligne : https://doi.org/10.1109/TGRS.2005.852079 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27523 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
065-05091	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Quality criteria benchmark for hyperspectral imagery / E. Christophe in IEEE Transactions on geoscience and remote sensing, vol 43 n° 9 (September 2005)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 43 n° 9 (September 2005) . - pp 2103 - 2114 Titre : Quality criteria benchmark for hyperspectral imagery Type de document : Article/Communication Auteurs : E. Christophe, Auteur ; D. Leger, Auteur ; Corinne Mailhes, Auteur Année de publication : 2005 Article en page(s) : pp 2103 - 2114 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s) [Termes IGN] classification [Termes IGN] compression de données [Termes IGN] dégradation d'image [Termes IGN] image AVIRIS [Termes IGN] image hyperspectrale [Termes IGN] qualité des données [Termes IGN] test de performance Résumé : (Auteur) Hyperspectral data appear to be of a growing interest over the past few years. However, applications for hyperspectral data are still in their infancy as handling the significant size of the data presents a challenge for the user community. Efficient compression techniques are required, and lossy compression, specifically, will have a role to play, provided its impact on remote sensing applications remains insignificant. To assess the data quality, suitable distortion measures relevant to end-user applications are required. Quality criteria are also of a major interest for the conception and development of new sensors to define their requirements and specifications. This paper proposes a method to evaluate quality criteria in the context of hyperspectral images. The purpose is to provide quality criteria relevant to the impact of degradations on several classification applications. Different quality criteria are considered. Some are traditionnally used in image and video coding and are adapted here to hyperspectral images. Others are specific to hyperspectral data. We also propose the adaptation of two advanced criteria in the presence of different simulated degradations on AVIRIS hyperspectral images. Finally, live criteria are selected to give an accurate representation of the nature and the level of the degradation affecting hyperspectral data. Numéro de notice : A2005-388 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2005.853931 En ligne : https://doi.org/10.1109/TGRS.2005.853931 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27524 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
065-05091	RAB	Revue	Centre de documentation	En réserve L003	Disponible