Physics
Scientific paper
Oct 1999
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1999spie.3753..308s&link_type=abstract
Proc. SPIE Vol. 3753, p. 308-317, Imaging Spectrometry V, Michael R. Descour; Sylvia S. Shen; Eds.
Physics
Scientific paper
An invariant material tracking algorithm requires a representation that is unaffected by environmental factors. An airborne hyperspectral sensor measures a radiance spectrum that, in general, will vary with atmospheric conditions and the scene geometry. Material tracking algorithms that directly match hyperspectral sensor measurements are therefore limited under general conditions. In this paper, we develop a low- dimensional subspace representation that can be used for material tracking over wide variation in environmental parameters. The material subspace is constructed using a single radiance spectrum from an unknown target material measured under unknown conditions. We demonstrate the subspace representation with a set of material identification experiments on HYDICE imagery from the Forest Radiance I and Desert Radiance II collections.
Healey Glenn
Slater David
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