22 August 1988 Optical Processing Of Imaging Spectrometer Data
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Abstract
The data processing problems associated with imaging spectrometer data are reviewed; new algorithms and optical processing solutions are advanced for this computationally intensive application. Optical decision net, directed graph, and neural net solutions are considered. Decision nets and mineral element determination of non-mixture data are emphasized here. A new Fisher/minimum-variance clustering algorithm is advanced, initialization using minimum-variance clustering is found to be preferred and fast. Tests on a 500 class problem show the excellent performance of our algorithm.
© (1988) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Shiaw-Dong Liu, Shiaw-Dong Liu, David Casasent, David Casasent, } "Optical Processing Of Imaging Spectrometer Data", Proc. SPIE 0938, Digital and Optical Shape Representation and Pattern Recognition, (22 August 1988); doi: 10.1117/12.976595; https://doi.org/10.1117/12.976595
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