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Unmixing-Based Fusion of Hyperspatial and Hyperspectral Airborne Imagery for Early Detection of Vegetation Stress

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Unmixing-Based Fusion of Hyperspatial and Hyperspectral Airborne Imagery for Early Detection of Vegetation Stress

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Delalieux, S.; Zarco-Tejada, PJ.; Tits, L.; Jiménez Bello, MA.; Intrigliolo Molina, DS.; Somers, B. (2014). Unmixing-Based Fusion of Hyperspatial and Hyperspectral Airborne Imagery for Early Detection of Vegetation Stress. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 7(6):2571-2582. doi:10.1109/JSTARS.2014.2330352

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Título: Unmixing-Based Fusion of Hyperspatial and Hyperspectral Airborne Imagery for Early Detection of Vegetation Stress
Autor:
Entidad UPV: Universitat Politècnica de València. Departamento de Ingeniería Hidráulica y Medio Ambiente - Departament d'Enginyeria Hidràulica i Medi Ambient
Fecha difusión:
Resumen:
Many applications require a timely acquisition of high spatial and spectral resolution remote sensing data. This is often not achievable since spaceborne remote sensing instruments face a tradeoff between spatial and ...[+]
Palabras clave: Citrus , Fusion , Hyperspatial , Hyperspectral , Thermal , Unmixing , Water stress
Derechos de uso: Reserva de todos los derechos
Fuente:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. (issn: 1939-1404 )
DOI: 10.1109/JSTARS.2014.2330352
Editorial:
Institute of Electrical and Electronics Engineers (IEEE)
Versión del editor: http://dx.doi.org/10.1109/JSTARS.2014.2330352
Descripción: "© 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.” Upon publication, authors are asked to include either a link to the abstract of the published article in IEEE Xplore®, or the article’s Digital Object Identifier (DOI).
Agradecimientos:
This work was supported in part by the Belgian Science Policy Office in the frame of the Stereo II program (Hypermix project-SR/00/141), in part by the project Chameleon of the Flemish Agency for Innovation by Science and ...[+]
Tipo: Artículo

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