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14 May 2019 Synthetic data accuracy sensitivity to CAD model accuracy using ATR-based metrics
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Abstract
In this paper we present a methodology for validating a 3D Computer Aided Design (CAD) model's accuracy for radar data synthesis. CAD models have been used to generate computer simulated radar frequency (RF) data. One problem with existing CAD-based simulations is that there is no metric or tool to verify whether data produced from the CAD model can be classified correctly before and after modifications have been made. This paper presents a methodology to quantify the similarities and differences in data generated from CAD models before and after modifications and presents this information through confusion matrices and a visualization technique. Results for three experiments involving CAD model modifications are presented.
Conference Presentation
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Elizabeth R. Sudkamp, John W. Nehrbass, Eric Branch, and Michael Levy "Synthetic data accuracy sensitivity to CAD model accuracy using ATR-based metrics", Proc. SPIE 10987, Algorithms for Synthetic Aperture Radar Imagery XXVI, 109870I (14 May 2019); https://doi.org/10.1117/12.2523456
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