Hyperspectral Lightcurve Inversion for Attitude Determination

Simão da Graça Marto, Massimiliano Vasile, Andrew Campbell, Paul Murray, Stephen Marshall +1 more
12/19/2023
eess.SPastro-ph.IMcs.LG

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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.

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Cite this paper

@article{marto2023hyperspectral,
  title  = {Hyperspectral Lightcurve Inversion for Attitude Determination},
  author = {Simão da Graça Marto and Massimiliano Vasile and Andrew Campbell and Paul Murray and Stephen Marshall and Vasili Savitski},
  year   = {2023},
  eprint = {2401.05397},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2401.05397v1}
}

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