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A CLASSIFICATION ALGORITHM FOR HYPERSPECTRAL DATA BASED ON SYNERGETICS THEORY

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This paper presents a new classification methodology for hyperspectral data based on synergetics theory. which describes the spontaneous formation of patterns and structures in a system through self-organization. We introduce a representation for hyperspectral data. in which a spectrum can be projected in a space spanned by a set of user-defined prototype vectors. https://www.roneverhart.com/NEXT-GENERATION-CORVETTE-LANYARD/
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