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Use of Neuromorphic Sensors for Satellite Material Characterisation

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Abstract

We demonstrate the use of an event-based asynchronous pixel array sensor for characterising common satellite materials. Very high spatial and temporal resolution are leveraged to produce broadband photometric intensity and colour curves as a function of observation angle. Clear material-dependent features in the curves indicate potential to identify satellite material types on orbit.

© 2019 The Author(s)

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