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27 August 2008 Spectral fingerprint identification for whole cube identification
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Abstract
Spectral Fingerprint Identification (SFI) attempts to incorporate feature finding, text matching, and data fusion techniques for fast whole cube material identification. In operation, the SFI algorithm translates spectral data into a feature space where fast text matching between all pixels in a data cube and a preprocessed SFI spectral library can be performed. Data fusion of the resulting feature matches creates a listing of materials likely contained in a data cube at both the whole pixel and subpixel level. The Spectral Fingerprint Identification methodology was implemented in a prototype Opticks plug-in capable of both standalone and Windows based cluster processing.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Charles C. Wamsley and Peter G. Raeth "Spectral fingerprint identification for whole cube identification", Proc. SPIE 7086, Imaging Spectrometry XIII, 70860Q (27 August 2008); https://doi.org/10.1117/12.795115
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