7 May 2007 An algorithm for target validation using 3D scattering features
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Abstract
In this paper we present an algorithm for target validation using 3-D scattering features. Building a high fidelity 3-D CAD model is a key step in the target validation process. 3-D scattering features were introduced previously [1] to capture the spatial and angular scattering properties of a target. The 3-D scattering feature set for a target is obtained by using the 3-D scattering centers predicted from the shooting and bouncing ray technique, and establishing a correspondence between the scattering centers and their associated angular visibility. A 3-D scattering feature can be interpreted to be a matched filter for a target, since the radar data projected onto the feature are matched to the spatial and angular scattering behavior of the target. Furthermore, the 3-D scattering features can be tied back to the target geometries using the trace-back information computed during the extraction process. By projecting the measured radar data onto a set of 3-D scattering features and examining the associated correlations and trace-back information, the quality of the 3-D target CAD model used for synthetic signature modeling can be quantified. The correlation and traceback information can point to regions of a target that differ from the 3-D CAD model. Results for the canonical Slicy target using the algorithm are presented.
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Ann Marie Raynal, Ann Marie Raynal, Rajan Bhalla, Rajan Bhalla, Hao Ling, Hao Ling, Vincent J. Velten, Vincent J. Velten, } "An algorithm for target validation using 3D scattering features", Proc. SPIE 6568, Algorithms for Synthetic Aperture Radar Imagery XIV, 65680I (7 May 2007); doi: 10.1117/12.719299; https://doi.org/10.1117/12.719299
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