Please use this identifier to cite or link to this item: http://hdl.handle.net/2122/6706
AuthorsPiscini, Alessandro* 
Amici, Stefania* 
Pieri, Dave* 
TitleSpectral analysis of ASTER and HYPERION data for geological classification of Volcano Teide
Issue DateJul-2010
URIhttp://hdl.handle.net/2122/6706
KeywordsTeide, classification, hyperspectral sensors, ASTER, Hyperion, reflectance spectra
Subject Classification04. Solid Earth::04.08. Volcanology::04.08.05. Volcanic rocks 
AbstractThis 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

Files in This Item:
File Description SizeFormat 
igarss2010_3475final.pdfproceeding473.85 kBAdobe PDFView/Open
3475_final.pdfposter1.05 MBAdobe PDFView/Open
Show full item record

Page view(s)

52
Last Week
0
Last month
0
checked on Aug 18, 2017

Download(s)

193
checked on Aug 18, 2017

Google ScholarTM

Check