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Proceedings Paper

Material identification over variation of scene conditions and viewing geometry
Author(s): Peihsiu Suen; Glenn Healey; David Slater
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Paper Abstract

As the viewing angle and scene conditions change, the spectral appearance of a material also changes. We present a material identification algorithm for hyperspectral images that is invariant to these changes. Only the solar zenith angle, the viewing angle and sensor altitude, and the spectral reflectance function for the material are required by the algorithm. A material subspace model allows the algorithm to compute an error measure for a given pixel that indicates its similarity to the material. Classification results using USGS mineral reflectance functions and MODTRAN atmospheric functions are presented to demonstrate the performance of the algorithm. Recognition experiments using simulated off-nadir HYDICE images are also presented to demonstrate the use of the algorithm.

Paper Details

Date Published: 23 August 2000
PDF: 12 pages
Proc. SPIE 4049, Algorithms for Multispectral, Hyperspectral, and Ultraspectral Imagery VI, (23 August 2000); doi: 10.1117/12.410342
Show Author Affiliations
Peihsiu Suen, Univ. of California/Irvine (United States)
Glenn Healey, Univ. of California/Irvine (United States)
David Slater, Univ. of California/Irvine (United States)


Published in SPIE Proceedings Vol. 4049:
Algorithms for Multispectral, Hyperspectral, and Ultraspectral Imagery VI
Sylvia S. Shen; Michael R. Descour, Editor(s)

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