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Using Feature-Vector Based Analysis, based on Principal Component Analysis andIndependent Component Analysis, for Analysing Hyperspectral Images
Uppsala University, Interfaculty Units, Centre for Image Analysis. Teknisk-naturvetenskapliga vetenskapsområdet, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis.
2001 (English)In: 11th International Conference for Image Analysis and Processing (ICIAP2001), Palermo, Italy, 2001, 309-315 p.Conference paper (Refereed)
Abstract [en]

A pixel in a hyperspectral image can be considered as a mixture of the reflectance

Place, publisher, year, edition, pages
2001. 309-315 p.
Keyword [en]
Water quality, Chlorophyll, SPIM, SPOM, SPM, Principal Component Analysis (PCA), Independent Component Analysis (ICA), Feature-Vector Based Analysis (FVBA)
National Category
Computer Vision and Robotics (Autonomous Systems)
URN: urn:nbn:se:uu:diva-39193OAI: oai:DiVA.org:uu-39193DiVA: diva2:67092
Available from: 2005-08-25 Created: 2005-08-25

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Computer Vision and Robotics (Autonomous Systems)

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