Modeling and recognizing hyperspectral textures under unknown conditions

Peihsiu Suen; Glenn Healey

doi:10.1117/12.366288

27 October 1999 Modeling and recognizing hyperspectral textures under unknown conditions

Peihsiu Suen, Glenn Healey

Proceedings Volume 3753, Imaging Spectrometry V; (1999) https://doi.org/10.1117/12.366288
Event: SPIE's International Symposium on Optical Science, Engineering, and Instrumentation, 1999, Denver, CO, United States

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.

Citation Download Citation

Peihsiu Suen and Glenn Healey "Modeling and recognizing hyperspectral textures under unknown conditions", Proc. SPIE 3753, Imaging Spectrometry V, (27 October 1999); https://doi.org/10.1117/12.366288

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