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Proceedings Paper

Spectral change space representation for invariant material tracking in hyperspectral images
Author(s): David Slater; Glenn Healey
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Paper Abstract

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.

Paper Details

Date Published: 27 October 1999
PDF: 10 pages
Proc. SPIE 3753, Imaging Spectrometry V, (27 October 1999); doi: 10.1117/12.366293
Show Author Affiliations
David Slater, Univ. of California/Irvine (United States)
Glenn Healey, Univ. of California/Irvine (United States)


Published in SPIE Proceedings Vol. 3753:
Imaging Spectrometry V
Michael R. Descour; Sylvia S. Shen, Editor(s)

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