Abstract: The problem in the classification of hyperspectral images has been tough since the spectral dimension is high, the number of labeled sample data is low, and there are computing limitations.

cDivision of General Internal Medicine, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ, USA dDepartment of Health Behavior, Society and Policy, Rutgers School of Public Health, The ...