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Proceedings Paper

Modeling and recognizing hyperspectral textures under unknown conditions
Author(s): Peihsiu Suen; Glenn Healey
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Paper Abstract

We present a method for identifying hyperspectral textures composed of a set of given materials. The algorithm is invariant to illumination and atmospheric conditions as well as the spatial sampling of the texture. Only the spectral reflectance functions for the materials in the texture are required by the algorithm. A texture analysis method based on minimizing the squared error between a pixel spectrum and a synthetic spectral mixture allows pixels to be ranked according to consistency with the texture model. Experimental results using HYDICE imagery demonstrate the use of the method to identify hyperspectral textures under different conditions.

Paper Details

Date Published: 27 October 1999
PDF: 8 pages
Proc. SPIE 3753, Imaging Spectrometry V, (27 October 1999); doi: 10.1117/12.366288
Show Author Affiliations
Peihsiu Suen, 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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