Spectral change space representation for invariant material tracking in hyperspectral images

David Slater; Glenn Healey

doi:10.1117/12.366293

27 October 1999 Spectral change space representation for invariant material tracking in hyperspectral images

David Slater, Glenn Healey

Proceedings Volume 3753, Imaging Spectrometry V; (1999) https://doi.org/10.1117/12.366293
Event: SPIE's International Symposium on Optical Science, Engineering, and Instrumentation, 1999, Denver, CO, United States

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.

Citation Download Citation

David Slater and Glenn Healey "Spectral change space representation for invariant material tracking in hyperspectral images", Proc. SPIE 3753, Imaging Spectrometry V, (27 October 1999); https://doi.org/10.1117/12.366293

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