An extended CIE transformation was employed to deal with data reduction problems of hyperdimensional spectral data for NASA airborne and shuttle imaging spectrometers. A simple descriptor was found to be very effective in analyzing spectral data covers from 0.4 to 2.4 µm. Results reveal contextual properties of minerals, vegetation, and crops. It provides a means to monitor seasonal growth variations for crops. It can also serve as pseudocolor indexing for imaging spectrometer imagery extended beyond the visible range.
© 1984 Optical Society of America
Wun C. Chiou, "Simple descriptor for contextual classification of hyperdimensional remotely sensed spectral data," Appl. Opt. 23, 465-468 (1984)