A New Approach for Spatio-Spectral Feature Selection for Sensors with Noisy and Overlapping Spectral Bands


This paper extends a recently developed canonical-correlation feature-selection (CCFS) approach to a collective spatio-spectral feature-selection and classification framework for hyperspectral imagers. The work utilizes the concept of spectrally enhanced spatial features by integration of pixels' spatial and spectral information. In order to determine the… (More)
DOI: 10.1109/IGARSS.2008.4780109


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