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Proceedings Paper

Fourier filtering of hyperspectral imagery of space objects to reduce camera noise
Author(s): Eirik Holbert; Michael R. Hawks
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Paper Abstract

The collection of spatial-spectral data of space objects is unique from most applications of spectral imaging technology. Space object identification requires collection of multiple frames of relatively low intensity, fast moving targets. The objective is to collect a single aggregate reflectance spectrum over the satellite and correlate this to orientation and solar phase angle. Higher statistical signal-to-noise can be achieved by averaging over the spatial dimension of a data frame. Blur was introduced by the tracking conditions in only the spatial dimension due to the design of the instrument. This blur allows some minimization of camera noise that cannot be removed through conventional techniques.

Paper Details

Date Published: 12 June 1995
PDF: 5 pages
Proc. SPIE 2480, Imaging Spectrometry, (12 June 1995); doi: 10.1117/12.210902
Show Author Affiliations
Eirik Holbert, Air Force Phillips Lab. (United States)
Michael R. Hawks, Air Force Phillips Lab. (United States)


Published in SPIE Proceedings Vol. 2480:
Imaging Spectrometry
Michael R. Descour; Jonathan Martin Mooney; David L. Perry; Luanna R. Illing, Editor(s)

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