Infrared synthetic imagery simulators are commonly used for validation of infrared imaging terminal guidance missile performances. A high level of confidence for infrared synthetic imagery simulation is needed. The prediction fiability depends on radiance model quality and input parameters knowledge.
An infrared radiance contrast prediction model was developed at ONERA to study environmental and target/background characteristics effects on contrasts in infrared scene. The aim of this study is to compare the prediction robustness in middlewave and longwave infrared spectral bands (MWIR, LWIR), and, later, to estimate input parameters uncertainties on the prediction quality.
This paper presents the validation methodology and validation study results.
A specific validation criterion is used to evaluate the model ability to predict the presence or the lack of contrast between two objects separated by a line (segment). Simulated radiance contrasts are compared to measured contrasts on the PIRRENE test site located 30 km south west of Toulouse, France.
Model validation needs a large number of conditions to cover the application domain. The specified conditions are: 2 climatological conditions (summer, winter), 2 meteorological conditions (clear sky, cloudy sky) and 28 segments combining 7 materials and 3 geometries (horizontal/horizontal, vertical/horizontal and vertical/vertical). MWIR and LWIR radiance contrasts are simulated for each condition on complete diurnal cycle with 15-minute sampling.