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Proceedings Paper

Flash hyperspectral imaging of non-stellar astronomical objects
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Paper Abstract

There are certain classes of astronomical objects that have rather involved spectra that can also be a composite of a number of different spectral signatures, as well as spatial characteristics that can be used for identification and analysis. Such objects include galaxies and quasars with active nuclei, colliding / interacting galaxies, and globular cluster systems around our own Milky Way and other galaxies. Flash hyperspectral imaging adds coherence-time limited functionality so that Earth orbiting spacecraft and solar system objects such as planets, asteroids and comets can be spectrally imaged as well, as these also have both spatial and spectral structure rotating and moving within much shorter time spans. Flash hyperspectral imaging systems are, therefore, also useful for faster simultaneous spatial and spectral feature analysis. Previous work has explored spectral unmixing and other types of feature extraction of these general types of objects, but without consideration of the hyperspectral imaging system involved, neither in how the data is collected nor in how the datacube is reconstructed. We will present a proof of concept simulation of a resolved object as it is imaged through such a physically modeled imaging system and its datacube reconstructed. Finally, we provide a demonstration of the capability with astronomical data, Venus and a binary star, when constrained by our physical model of the instrumental transfer function.

Paper Details

Date Published: 5 September 2008
PDF: 12 pages
Proc. SPIE 7075, Mathematics of Data/Image Pattern Recognition, Compression, and Encryption with Applications XI, 70750H (5 September 2008); doi: 10.1117/12.794915
Show Author Affiliations
James F. Scholl, College of Optical Sciences, Univ. of Arizona (United States)
Steward Observatory, Univ. of Arizona (United States)
E. Keith Hege, MKS Imaging Technology, LLC (United States)
Steward Observatory, Univ. of Arizona (United States)
Michael Hart, College of Optical Sciences, Univ. of Arizona (United States)
Daniel O'Connell, Hnu Photonics (United States)
Eustace L. Dereniak, College of Optical Sciences, Univ. of Arizona (United States)


Published in SPIE Proceedings Vol. 7075:
Mathematics of Data/Image Pattern Recognition, Compression, and Encryption with Applications XI
Mark S. Schmalz; Gerhard X. Ritter; Junior Barrera; Jaakko T. Astola, Editor(s)

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