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Auteur A. Iwasaki |
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Coupled nonnegative matrix factorization unmixing for hyperspectral and multispectral data fusion / N. Yokoya in IEEE Transactions on geoscience and remote sensing, vol 50 n° 2 (February 2012)
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Titre : Coupled nonnegative matrix factorization unmixing for hyperspectral and multispectral data fusion Type de document : Article/Communication Auteurs : N. Yokoya, Auteur ; T. Yairi, Auteur ; A. Iwasaki, Auteur Année de publication : 2012 Article en page(s) : pp 528 - 537 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse linéaire des mélanges spectraux
[Termes IGN] fusion d'images
[Termes IGN] image hyperspectrale
[Termes IGN] image multibande
[Termes IGN] matriceRésumé : (Auteur) Coupled nonnegative matrix factorization (CNMF) unmixing is proposed for the fusion of low-spatial-resolution hyperspectral and high-spatial-resolution multispectral data to produce fused data with high spatial and spectral resolutions. Both hyperspectral and multispectral data are alternately unmixed into end member and abundance matrices by the CNMF algorithm based on a linear spectral mixture model. Sensor observation models that relate the two data are built into the initialization matrix of each NMF unmixing procedure. This algorithm is physically straightforward and easy to implement owing to its simple update rules. Simulations with various image data sets demonstrate that the CNMF algorithm can produce high-quality fused data both in terms of spatial and spectral domains, which contributes to the accurate identification and classification of materials observed at a high spatial resolution. Numéro de notice : A2012-047 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2011.2161320 Date de publication en ligne : 12/08/2011 En ligne : https://doi.org/10.1109/TGRS.2011.2161320 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31495
in IEEE Transactions on geoscience and remote sensing > vol 50 n° 2 (February 2012) . - pp 528 - 537[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-2012021 RAB Revue Centre de documentation En réserve L003 Disponible ASTER geometric performance / A. Iwasaki in IEEE Transactions on geoscience and remote sensing, vol 43 n° 12 (December 2005)
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Titre : ASTER geometric performance Type de document : Article/Communication Auteurs : A. Iwasaki, Auteur ; Hiroyuki Fujisada, Auteur Année de publication : 2005 Article en page(s) : pp 2700 - 2706 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s)
[Termes IGN] Advanced Spaceborne Thermal Emission and Reflection Radiometer
[Termes IGN] bande infrarouge
[Termes IGN] corrélation croisée normalisée
[Termes IGN] géométrie de l'image
[Termes IGN] image multibande
[Termes IGN] qualité d'image
[Termes IGN] qualité géométrique (image)
[Termes IGN] rayonnement infrarouge thermique
[Termes IGN] validation des donnéesRésumé : (Auteur) The Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) system acquires multispectral images ranging from the visible to thermal infrared region. The ASTER system consists of three subsystems: visible and near-infrared (VNIR), short-wave infrared (SWIR) and thermal infrared (TIR) radiometers. The VNIR subsystem has a backward-viewing telescope as well as a nadir one. To deliver data products of high quality from the viewpoint of geolocation and hand-to-hand registration performance, a fundamental program, called Level-1 data processing, has been developed for images obtained using four telescopes with a cross-track pointing function. In this work, the methodology of the geometric validation is first described. Next, the image quality of ASTER data products is evaluated in view of the geometric performance over a period of four years. The hand-to-hand registration accuracy in the subsystem is better than 0.1 pixels and that between subsystems is better than 0.2 pixels. This means that the geometric database is determined accurately and the image matching method based on a cross-correlation function is effective in the operational usage. Numéro de notice : A2005-510 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2005.849055 En ligne : https://ieeexplore.ieee.org/document/1542340 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27646
in IEEE Transactions on geoscience and remote sensing > vol 43 n° 12 (December 2005) . - pp 2700 - 2706[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-05121 RAB Revue Centre de documentation Revues en salle Disponible