1995
DOI: 10.1117/12.210902
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Fourier filtering of hyperspectral imagery of space objects to reduce camera noise

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 t… Show more

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