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PreprintarXiv licencearXiv

Optimal exposure time for satellite imaging? A trade-off between residual tip-tilt and registration accuracy

Abstract

Adaptive-Optics assisted astronomical imaging and satellite imaging from the ground share many commonalities but have also specificities. In particular satellites are non-stationary objects in terms of both shape and flux, encouraging relatively short exposure times. Besides, very short exposures freeze the turbulence and preserve high spatial frequency information in speckles, but at the cost of a low image SNR, which complicates the post-processing. Conversely, long exposures lead to speckle-less images where some high frequency information is lost. In this communication, we propose a method for determining the exposure time that optimizes the image quality after post-processing. In particular, we focus on the reduction of the jitter effects -- induced by atmospheric tip-tilt residues, vibrations and object non stationarity -- which may dramatically reduce the image quality when imaging satellites. Our model takes into account the object type and flux, the residual aberrations power spectral density and the noise level.

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BibTeX
@misc{cheyssial2026optimal,
  title = {{Optimal exposure time for satellite imaging? A trade-off between residual tip-tilt and registration accuracy}},
  author = {Florian Cheyssial and Laurent M. Mugnier and Cyril Petit},
  howpublished = {arXiv},
  year = {2026},
  month = sep,
  doi = {10.48550/arxiv.2609.17023},
  eprint = {2609.17023},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2609.17023},
}
RIS
TY  - UNPB
TI  - Optimal exposure time for satellite imaging? A trade-off between residual tip-tilt and registration accuracy
AU  - Florian Cheyssial
AU  - Laurent M. Mugnier
AU  - Cyril Petit
PY  - 2026
DA  - 2026/09/15
PB  - arXiv
DO  - 10.48550/arxiv.2609.17023
UR  - https://arxiv.org/abs/2609.17023
AB  - Adaptive-Optics assisted astronomical imaging and satellite imaging from the ground share many commonalities but have also specificities. In particular satellites are non-stationary objects in terms of both shape and flux, encouraging relatively short exposure times. Besides, very short exposures freeze the turbulence and preserve high spatial frequency information in speckles, but at the cost of a low image SNR, which complicates the post-processing. Conversely, long exposures lead to speckle-less images where some high frequency information is lost. In this communication, we propose a method for determining the exposure time that optimizes the image quality after post-processing. In particular, we focus on the reduction of the jitter effects -- induced by atmospheric tip-tilt residues, vibrations and object non stationarity -- which may dramatically reduce the image quality when imaging satellites. Our model takes into account the object type and flux, the residual aberrations power spectral density and the noise level.
ER  -