Accurate scene modeling using synthetic imagery

For a variety of training and simulation purposes even photo-realistic synthetic imagery is inadequate because of the impact of subtle effects on the eye and on other sensors. It is essential that the synthetic imagery is a physically accurate representation of the real world and captures all the inherent variability of different backgrounds. CAMEO-SIM has been developed to meet these requirements. Recent work has improved the atmospheric modeling and thermal shadow simulation. In addition, novel concepts to introduce the three-dimensional spatial and spectral variability are under consideration. It is essential that the fidelity of the imagery is evaluated to ensure that it is 'fit for purpose'. Therefore a toolset, FIRE (Fidelity Investigation and Reporting Environment), has been developed. This toolset can assess metrics such as clutter level' within the image. A range of validation studies have been undertaken throughout the development of CAMEO-SIM. This paper will give an overview of the current capabilities of CAMEO-SIM and describe planned developments. The validation work will be reviewed, especially the recent work on thermal modeling and analysis using FIRE.