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Proceedings Paper • Open Access

Compressive sensing and hyperspectral imaging
Author(s): A. Barducci; D. Guzzi; C. Lastri; P. Marcoionni; V. Nardino; I. Pippi

Paper Abstract

Compressive sensing (sampling) is a novel technology and science domain that exploits the option to sample radiometric and spectroscopic signals at a lower sampling rate than the one dictated by the traditional theory of ideal sampling. In the paper some general concepts and characteristics regarding the use of compressive sampling in instruments devoted to Earth observation is discussed. The remotely sensed data is assumed to be constituted by sampled images collected by a passive device in the optical spectral range from the visible up to the thermal infrared, with possible spectral discrimination ability, e.g. hyperspectral imaging. According to recent investigations, compressive sensing necessarily employs a signal multiplexing architecture, which in spite of traditional expectations originates a significant SNR disadvantage.

Paper Details

Date Published: 20 November 2017
PDF: 6 pages
Proc. SPIE 10564, International Conference on Space Optics — ICSO 2012, 105642Z (20 November 2017); doi: 10.1117/12.2309123
Show Author Affiliations
A. Barducci, Istituto di Fisica Applicata "Nello Carrara" (Italy)
D. Guzzi, Istituto di Fisica Applicata "Nello Carrara" (Italy)
C. Lastri, Istituto di Fisica Applicata "Nello Carrara" (Italy)
P. Marcoionni, Istituto di Fisica Applicata "Nello Carrara" (Italy)
V. Nardino, Istituto di Fisica Applicata "Nello Carrara" (Italy)
I. Pippi, Istituto di Fisica Applicata "Nello Carrara" (Italy)


Published in SPIE Proceedings Vol. 10564:
International Conference on Space Optics — ICSO 2012
Bruno Cugny; Errico Armandillo; Nikos Karafolas, Editor(s)

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