Target modeling capabilities in DEVCOM Aviation and Missile Center scene generation tools

Matthew Rigney; Brad Seal; Chris Porter

doi:10.1117/12.2663918

26 June 2023 Target modeling capabilities in DEVCOM Aviation and Missile Center scene generation tools

Matthew Rigney, Brad Seal, Chris Porter

Author Affiliations +

Proceedings Volume 12529, Synthetic Data for Artificial Intelligence and Machine Learning: Tools, Techniques, and Applications; 125290H (2023) https://doi.org/10.1117/12.2663918
Event: SPIE Defense + Commercial Sensing, 2023, Orlando, Florida, United States

Abstract

Empirical and high-fidelity computational target models have routinely been inserted into synthetic imagery under conditions in which they were not created. Data collects are expensive and unable to be performed for all times and under all conditions. High-fidelity computational models can be time consuming and require engineers with specific expertise to generate. Therefore, instead of collecting or generating new data and models, previously generated models are used, often with hand-waving arguments that the model is close enough. DEVCOM Aviation and Missile Center has developed a tool to fill in the gap, using a physics-based calibrated model based on either the empirical or high-fidelity models to more easily and rapidly generate a new model under the specific scenario under investigation. this tool has also been used to help generate large numbers of target synthetic imagery for help in training AI algorithms.

Conference Presentation

Citation Download Citation

Matthew Rigney, Brad Seal, and Chris Porter "Target modeling capabilities in DEVCOM Aviation and Missile Center scene generation tools", Proc. SPIE 12529, Synthetic Data for Artificial Intelligence and Machine Learning: Tools, Techniques, and Applications, 125290H (26 June 2023); https://doi.org/10.1117/12.2663918

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