8 May 2018 Onboard CubeSat data processing for hyperspectral detection of chemical plumes
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Abstract
We describe the development and implementation of plume detection algorithms under severe bandwidth and processing constraints imposed by a CubeSat architecture. In particular, two ideas will be presented: one employs onboard processing to reduce the data that is downlinked, and one employs the Sparse Matrix Transform (SMT) to speed up the onboard computation of an approximate Mahalanobis distance.
Conference Presentation
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James Theiler, Bernard R. Foy, Claira Safi, Steven P. Love, "Onboard CubeSat data processing for hyperspectral detection of chemical plumes", Proc. SPIE 10644, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXIV, 1064405 (8 May 2018); doi: 10.1117/12.2305278; https://doi.org/10.1117/12.2305278
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