Paper
27 August 2001 Synthesizing invariant 3D rigid scattering centers
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Abstract
Automatic Target Recognition (ATR) is difficult in general, but especially with RADAR. However, the problem can be greatly simplified by using the 3-D reconstruction techniques presented at SPIE[Stuff] the previous 2 years. Now, instead of matching seemingly random signals in 1-D or 2-D, one must match scattering centers in 3-D. This method tracks scattering centers through an image collection sequence that would typically be used for SAR image formation. A major difference is that this approach naturally allows object motion (in fact the more the object moves, the better) and the resulting 'image' is a 3-D set of scattering centers scattering centers directly from synthetic data to build a database in anticipation of comparing the relative separability of these reconstructed scattering centers against more traditional approaches for doing ATR.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Gregory D. Arnold, Rifka Claypool, Vincent J. Velten, and Kirk Sturtz "Synthesizing invariant 3D rigid scattering centers", Proc. SPIE 4382, Algorithms for Synthetic Aperture Radar Imagery VIII, (27 August 2001); https://doi.org/10.1117/12.438233
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Cited by 3 scholarly publications.
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KEYWORDS
Scattering

3D modeling

Radar

3D acquisition

3D image processing

3D image reconstruction

Automatic target recognition

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