A CLASSIFICATION ALGORITHM FOR HYPERSPECTRAL DATA BASED ON SYNERGETICS THEORY
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 liftmaster csl24ul gate control spectrum can be projected in a space span