A compressive approach to imaging spectroscopy
A compressive approach to imaging spectroscopy
Imaging spectroscopy is of great importance for applications such as environmental sensing and astronomy observations. These devices rely on the acquisition and storage of vast amounts of spectral and spatial information. As experimental techniques are becoming more sophisticated, there is an increasing amount of data to collect and process. Here, we show that spectral information can be undersampled and fully reconstructed at nm resolution, with the aid of a multiple scattering material. We measure spectrally-and spatially-dependent speckle patterns, over a broad wavelength range, which are calibrated and stored in a spectral intensity transmission matrix. A compressive sensing technique is used to limit data collection at the acquisition stage during both the calibration and the reconstruction process. This enables fast reconstruction with minimal data storage needed, and offers a solution for light-weight, compact hyperspectral imaging systems.
Compressive sensing, Hyperspectral imaging, Multiple scattering, Speckle
French, Rebecca
d6d6a85a-e351-4cc8-ae4a-827c35fe6b64
Gigan, Sylvain
f2f2026a-fbe0-4fbe-b3a1-d8f7b35cdd58
Muskens, Otto L.
2284101a-f9ef-4d79-8951-a6cda5bfc7f9
8 May 2018
French, Rebecca
d6d6a85a-e351-4cc8-ae4a-827c35fe6b64
Gigan, Sylvain
f2f2026a-fbe0-4fbe-b3a1-d8f7b35cdd58
Muskens, Otto L.
2284101a-f9ef-4d79-8951-a6cda5bfc7f9
French, Rebecca, Gigan, Sylvain and Muskens, Otto L.
(2018)
A compressive approach to imaging spectroscopy.
In Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXIV.
vol. 10644,
SPIE..
(doi:10.1117/12.2303984).
Record type:
Conference or Workshop Item
(Paper)
Abstract
Imaging spectroscopy is of great importance for applications such as environmental sensing and astronomy observations. These devices rely on the acquisition and storage of vast amounts of spectral and spatial information. As experimental techniques are becoming more sophisticated, there is an increasing amount of data to collect and process. Here, we show that spectral information can be undersampled and fully reconstructed at nm resolution, with the aid of a multiple scattering material. We measure spectrally-and spatially-dependent speckle patterns, over a broad wavelength range, which are calibrated and stored in a spectral intensity transmission matrix. A compressive sensing technique is used to limit data collection at the acquisition stage during both the calibration and the reconstruction process. This enables fast reconstruction with minimal data storage needed, and offers a solution for light-weight, compact hyperspectral imaging systems.
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Published date: 8 May 2018
Venue - Dates:
Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXIV 2018, , Orlando, United States, 2018-04-17 - 2018-04-19
Keywords:
Compressive sensing, Hyperspectral imaging, Multiple scattering, Speckle
Identifiers
Local EPrints ID: 424722
URI: http://eprints.soton.ac.uk/id/eprint/424722
PURE UUID: 60880f2e-8a7d-442c-a7df-2d9d19b78921
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Date deposited: 05 Oct 2018 11:41
Last modified: 16 Mar 2024 04:01
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Contributors
Author:
Rebecca French
Author:
Sylvain Gigan
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