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Chip-Scale Low Power Analog Hardware Implemented Compressed Sensing and Target Detection Algorithms for Hyperspectral Imaging Applications

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Abstract

Low cost, low power hyperspectral imaging sensors and real-time, low power processing of hyperspectral data are needed for mobile platforms for agricultural, mineralogical, surveillance and physics applications. In this presentation we will show how two novel technologies - Compressed Sensing (CS) and analog Asynchronous Pulse Processing (APP) – are successfully applied to real time HSI sensing and processing.

© 2012 Optical Society of America

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