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Coded Aperture Snapshot Imaging Based Spectral Classification

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Abstract

Coded aperture snapshot imaging (CASSI) is used for spectral classification in a compact form. A CASSI data cube is classified by using an adaptive cosine estimator (ACE), to detect target pixels, and signal-to-noise ratio (SNR) of the data cube is improved by video stabilization (VS) technique.

© 2014 Optical Society of America

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