27 October 1999 Modeling and recognizing hyperspectral textures under unknown conditions
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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.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Peihsiu Suen, Peihsiu Suen, Glenn Healey, Glenn Healey, } "Modeling and recognizing hyperspectral textures under unknown conditions", Proc. SPIE 3753, Imaging Spectrometry V, (27 October 1999); doi: 10.1117/12.366288; https://doi.org/10.1117/12.366288

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