Compressive Hyperspectral Imaging for Stellar Spectroscopy

Author

Fickus, Matthew ; Lewis, Megan E. ; Mixon, Dustin G. ; Peterson, Jesse

Author_Institution

Dept. of Math. & Stat., Air Force Inst. of Technol., Wright-Patterson AFB, OH, USA

Volume

22

Issue

11

fYear

2015

fDate

Nov. 2015

Firstpage

1829

Lastpage

1833

Abstract

Hyperspectral data is commonly used by astronomers to discern the chemical composition of stars. Unfortunately, conventional hyperspectral platforms require long exposure times, which can hamper their use in applications like celestial navigation. We propose a compressed sensing platform that exploits the spatial sparsity of stars to quickly sample the hyperspectral data. We leverage certain combinatorial designs to devise coded apertures, and then we apply block orthogonal matching pursuit to quickly reconstruct the desired imagery.

Keywords

astronomical image processing; astronomical techniques; data compression; hyperspectral imaging; image coding; image matching; image reconstruction; stellar spectra; celestial navigation; coded apertures; combinatorial designs; compressed sensing platform; compressive hyperspectral imaging; hyperspectral data; hyperspectral platforms; long exposure times; orthogonal matching pursuit; spatial sparsity; star chemical composition; stellar spectroscopy; Apertures; Charge coupled devices; Government; Hyperspectral imaging; Imaging; Matching pursuit algorithms; Block sparsity; compressed sensing; compressive hyperspectral imaging; matching pursuit; stellar spectroscopy;

fLanguage

English

Journal_Title

Signal Processing Letters, IEEE

Publisher

ieee

ISSN

1070-9908

Type

jour

DOI

10.1109/LSP.2015.2433837

Filename

7115943