Génération de bases de données images IR sous contraintes avec variabilité thermique intrinsèque des cibles

Jerome Gilles, Stephane Landeau, Tristan Dagobert, Philippe Chevalier, Christian Bolut
11/12/2024
cs.CV

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Abstract

In this communication, we propose a method which permits to simulate images of targets in infrared imagery by superimposition of vehicle signatures in background, eventually with occultants. We develop a principle which authorizes us to generate different thermal configurations of target signatures. This method enables us to easily generate huge datasets for ATR algorithms performance evaluation.

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@article{gilles2024gnration,
  title  = {Génération de bases de données images IR sous contraintes avec variabilité thermique intrinsèque des cibles},
  author = {Jerome Gilles and Stephane Landeau and Tristan Dagobert and Philippe Chevalier and Christian Bolut},
  year   = {2024},
  eprint = {2411.07575},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2411.07575v1}
}

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