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23 August 2000 Material identification over variation of scene conditions and viewing geometry
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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.
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Peihsiu Suen, Glenn Healey, and David Slater "Material identification over variation of scene conditions and viewing geometry", Proc. SPIE 4049, Algorithms for Multispectral, Hyperspectral, and Ultraspectral Imagery VI, (23 August 2000);

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