Subspace projection approach to characterization and classification of TRWIS III data

Details Subspace projection approach to characterization and classification of TRWIS III data Subspace projection approach to characterization and classification of TRWIS III data

Oct 1999

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1999spie.3753..318s&link_type=abstract

Proc. SPIE Vol. 3753, p. 318-326, Imaging Spectrometry V, Michael R. Descour; Sylvia S. Shen; Eds.

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The TRW Imaging Spectrometer III (TRWIS III) airborne hyperspectral sensor collects imagery in 384 contiguous spectral channels covering the 400 nm to 2450 nm wavelength range. TRWIS III has been used to gather data for a number of remote sensing applications including classification of desert vegetation, forest species, and man-made materials. Analysis has also been performed on TRWIS III agricultural images. This paper will describe the subspace projection technique that was used to process agricultural imagery. An example will be shown in which data dimensionality is reduced by projecting test data onto the space spanned by training data. A minimum Mahalanobis distance measure from the means of the training data class clusters is used as the pixel classification criterion.

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