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Please use this identifier to cite or link to this item: http://hdl.handle.net/2122/7860

Authors: Piscini, Alessandro*
Amici, Stefania*
Pieri, Dave*
Title: Spectral analysis of ASTER and HYPERION data for geological classification of Volcano Teide.
Editors: IEEE IGARSS
Issue Date: 24-Jul-2010
Keywords: Teide, classification, hyperspectral sensors, ASTER, Hyperion, reflectance spectra
Abstract: This work is an evaluation to which degree geological information can be obtained from modern remote sensing systems like the multispectral ASTER or the hyperspectral Hyperion sensor for a volcanic region like Teide Volcano (Tenerife, Canary Islands). To account for the enhanced information content these sensors provide, hyperspectral analysis methods, incorporating for example Minimum Noise Fraction-Transformation (MNF) for data quality assessment and noise reduction as well as Spectral Angle Mapper (SAM) and Support Vector Machine (SVM) for supervised classification, were applied. Ground Truth reflectance data were obtained with a FieldSpec Pro measurements campaign conducted during later summer of 2007 in the frame of the EC project PREVIEW (http://www.preview-risk.com/).
Appears in Collections:Conference materials
04.08.05. Volcanic rocks

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