Hyperspectral lightcurve inversion for attitude determination

Tools

Marto, Simão da Graça and Vasile, Massimiliano and Campbell, Andrew and Murray, Paul and Marshall, Stephen and Savitski, Vasili (2023) Hyperspectral lightcurve inversion for attitude determination. Other. arXiv, Ithaca, NY. (https://doi.org/10.48550/arXiv.2401.05397)

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Abstract

Spectral lightcurves consisting of time series single-pixel spectral measurements of spacecraft are used to infer the spacecraft's attitude and rotation. Two methods are used. One based on numerical optimisation of a regularised least squares cost function, and another based on machine learning with a neural network model. The aim is to work with minimal information, thus no prior is available on the attitude nor on the inertia tensor. The theoretical and practical aspects of this task are investigated, and the methodology is tested on synthetic data. Results are shown based on synthetic data.

ORCID iDs

Marto, Simão da Graça, Vasile, Massimiliano ORCID logoORCID: https://orcid.org/0000-0001-8302-6465, Campbell, Andrew ORCID logoORCID: https://orcid.org/0000-0002-4439-3630, Murray, Paul ORCID logoORCID: https://orcid.org/0000-0002-6980-9276, Marshall, Stephen ORCID logoORCID: https://orcid.org/0000-0001-7079-5628 and Savitski, Vasili ORCID logoORCID: https://orcid.org/0000-0001-5261-1186;
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