Fourier filtering of hyperspectral imagery of space objects to reduce camera noise

Eirik Holbert; Michael R. Hawks

doi:10.1117/12.210902

12 June 1995 Fourier filtering of hyperspectral imagery of space objects to reduce camera noise

Eirik Holbert, Michael R. Hawks

Proceedings Volume 2480, Imaging Spectrometry; (1995) https://doi.org/10.1117/12.210902
Event: SPIE's 1995 Symposium on OE/Aerospace Sensing and Dual Use Photonics, 1995, Orlando, FL, United States

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.

Citation Download Citation

Eirik Holbert and Michael R. Hawks "Fourier filtering of hyperspectral imagery of space objects to reduce camera noise", Proc. SPIE 2480, Imaging Spectrometry, (12 June 1995); https://doi.org/10.1117/12.210902

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