This approach to resident space object (RSO) fingerprinting is motivated by the established framework of biometric fingerprinting which comprises a basic differentiator, followed by three levels of matching. Level 0 (L0) features would be the size and type of the fingerprint. Level 1 (L1) features are the macro characteristics of the fingerprint. Level 2 (L2) features are locations where a single ridge in the fingerprint splits into two branches or ...
This paper demonstrates a simple analytical technique for extraction of spectral radiance values for the solar panel and body from an unresolved spectral infrared signature of 3-axis stabilized low-earth orbit (LEO) satellites. It uses data collected by The Aerospace Corporation's Broad-band Array Spectrograph System (BASS) instrument at the Air Force Maui Optical and Supercomputing (AMOS) site. The observation conditions were such that the signatures were due to the emissive phenomenology ...
A key feature of resident space object (RSO) photometric signatures is change in their brightness and color with time. It has been discovered that because of the illumination angle dependency of this temporal nature, time alone is insufficient to characterize the intrinsic nature of change in signature brightness. In this paper, we present a derivation of how the first derivative of the photometric intensity as a function of phase angle ...
Temporal behavior of a non-resolved resident space object [RSO] signature is a function of the abundance of its contributing materials. These abundances are, in turn, a function of the orbital behavior of the RSO. For example, in case of a spin-stabilized RSO, the abundances display a cyclic behavior. The present work uses a positive matrix factorization technique to extract the temporal variation of material abundances from hyperspectral or multi-spectral time-resolved ...
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