Abstract

Compressive sensing based hyperspectral imaging is investigated and compared with its raster scan counterpart. Data acquisition and compression are realized simultaneously which greatly decreases the measurement time and storage volume while increasing the signal fidelity.

© 2009 Optical Society of America

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