IR image databases generation under target intrinsic thermal variability constraints

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

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Abstract

This paper deals with the problem of infrared image database generation for ATR assessment purposes. Huge databases are required to have quantitative and objective performance evaluations. We propose a method which superimpose targets and occultants on background under image quality metrics constraints to generate realistic images. We also propose a method to generate target signatures with intrinsic thermal variability based on 3D models plated with real infrared textures.

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@article{gilles2024image,
  title  = {IR image databases generation under target intrinsic thermal variability constraints},
  author = {Jerome Gilles and Stephane Landeau and Tristan Dagobert and Philippe Chevalier and Christian Bolut},
  year   = {2024},
  eprint = {2411.07577},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2411.07577v1}
}

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