IR image databases generation under target intrinsic thermal variability constraints

TL;DR

A method which superimpose targets and occultants on background under image quality metrics constraints to generate realistic images and a method to generate target signatures with intrinsic thermal variability based on 3D models plated with real infrared textures are proposed.

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.

Figures (6)

• Figure 1: Definition of different areas for target superimposition over a choosen background.
• Figure 2: Hybrid scene generation principle.
• Figure 3: Map of homogeneous thermal behavior of a given vehicle.
• Figure 4: Probability laws of $\lambda$ for the different operationnal mode.
• Figure 5: Example of different thermal configurations generated by the proposed methode.