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5 September 2003 Accurate scene modeling using synthetic imagery
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Abstract
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 modelling and thermal shadow simulation. In addition, novel concepts to introduce the three-dimensional spatial and spectral variability required are under consideration. It is essential that the fidelity of the imagery generated is evaluated, to ensure that it is 'fit for purpose'. Therefore a toolset, FIRE, 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 modelling and analysis using FIRE.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Andrew W. Haynes, Marilyn A. Gilmore, David R. Filbee, and Colin A. Stroud "Accurate scene modeling using synthetic imagery", Proc. SPIE 5075, Targets and Backgrounds IX: Characterization and Representation, (5 September 2003); https://doi.org/10.1117/12.484921
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