English

IR image databases generation under target intrinsic thermal variability constraints

Computer Vision and Pattern Recognition 2024-11-13 v1

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.

Cite

@article{arxiv.2411.07577,
  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},
  journal= {arXiv preprint arXiv:2411.07577},
  year   = {2024}
}

Comments

arXiv admin note: substantial text overlap with arXiv:2411.06695

R2 v1 2026-06-28T19:56:33.975Z