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Calibration of high dimensional compressive sensing systems: A case study in compressive hyperspectral imaging

Publication ,  Journal Article
Poon, P; Dunlop, M; Vera, E; Golish, D; Gehm, M
Published in: Proceedings of the International Telemetering Conference
December 1, 2013

Compressive Sensing (CS) is a set of techniques that can faithfully acquire a signal from sub- Nyquist measurements, provided the class of signals have certain broadly-applicable prop- erties. Reconstruction (or exploitation) of the signal from these sub-Nyquist measurements requires a forward model-knowledge of how the system maps signals to measurements. In high-dimensional CS systems, determination of this forward model via direct measurement of the system response to the complete set of impulse functions is impractical. In this paper, we will discuss the development of a parameterized forward model for the Adaptive, Feature- Specific Spectral Imaging Classifier (AFSSI-C), an experimental compressive spectral image classifier. This parameterized forward model drastically reduces the number of calibration measurements.

Duke Scholars

Published In

Proceedings of the International Telemetering Conference

ISSN

0884-5123

Publication Date

December 1, 2013

Volume

49
 

Citation

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ICMJE
MLA
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Poon, P., Dunlop, M., Vera, E., Golish, D., & Gehm, M. (2013). Calibration of high dimensional compressive sensing systems: A case study in compressive hyperspectral imaging. Proceedings of the International Telemetering Conference, 49.
Poon, P., M. Dunlop, E. Vera, D. Golish, and M. Gehm. “Calibration of high dimensional compressive sensing systems: A case study in compressive hyperspectral imaging.” Proceedings of the International Telemetering Conference 49 (December 1, 2013).
Poon P, Dunlop M, Vera E, Golish D, Gehm M. Calibration of high dimensional compressive sensing systems: A case study in compressive hyperspectral imaging. Proceedings of the International Telemetering Conference. 2013 Dec 1;49.
Poon, P., et al. “Calibration of high dimensional compressive sensing systems: A case study in compressive hyperspectral imaging.” Proceedings of the International Telemetering Conference, vol. 49, Dec. 2013.
Poon P, Dunlop M, Vera E, Golish D, Gehm M. Calibration of high dimensional compressive sensing systems: A case study in compressive hyperspectral imaging. Proceedings of the International Telemetering Conference. 2013 Dec 1;49.

Published In

Proceedings of the International Telemetering Conference

ISSN

0884-5123

Publication Date

December 1, 2013

Volume

49