Abstract

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 effective in analyzing spectral data covers from 0.4 to 2.4 μm. Results reveal contextual properties of very vegetation, and crops. It provides a means to monitor seasonal growth variations for crops. It minerals, also serve as pseudocolor indexing for imaging spectrometer imagery extended beyond the visible can range.

© 1984 Optical Society of America

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