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Proceedings Paper

Synthetic data accuracy sensitivity to CAD model accuracy using ATR-based metrics
Author(s): Elizabeth R. Sudkamp; John W. Nehrbass; Eric Branch; Michael Levy
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Paper 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.

Paper Details

Date Published: 14 May 2019
PDF: 8 pages
Proc. SPIE 10987, Algorithms for Synthetic Aperture Radar Imagery XXVI, 109870I (14 May 2019); doi: 10.1117/12.2523456
Show Author Affiliations
Elizabeth R. Sudkamp, Air Force Research Lab. (United States)
John W. Nehrbass, Wright State Univ. (United States)
Eric Branch, Air Force Research Lab. (United States)
Michael Levy, Air Force Research Lab. (United States)


Published in SPIE Proceedings Vol. 10987:
Algorithms for Synthetic Aperture Radar Imagery XXVI
Edmund Zelnio; Frederick D. Garber, Editor(s)

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