Optimal class separation in hyperspectral image data: iterated canonical discriminant analysis



Abstract
TypeConference paper [With referee]
ConferenceThird Annual Hyperspectral Imaging Conference
Year2012    Month May    pp. 64-67
PublisherInstituto Nazionale di Geofisica e Vulcanologia
AddressINGV, Rome, Italy
NoteMatlab code is provided in zip file. - The sentence "This method is in itself a univariate version of CDA" in page 65 makes no sense.
Electronic version(s)[pdf] [zip]
BibTeX data [bibtex]
IMM Group(s)Geoinformatics


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