Paper
20 May 2013 Target manifold formation using a quadratic SDF
Charles F. Hester, Kelly K. D. Risko
Author Affiliations +
Abstract
Synthetic Discriminant Function (SDF) formulation of correlation filters provides constraints for forming target subspaces for a target set. In this paper we extend the SDF formulation to include quadratic constraints and use this solution to form nonlinear manifolds in the target space. The theory for forming these manifolds will be developed and demonstrated with data.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Charles F. Hester and Kelly K. D. Risko "Target manifold formation using a quadratic SDF", Proc. SPIE 8744, Automatic Target Recognition XXIII, 87440M (20 May 2013); https://doi.org/10.1117/12.2015403
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KEYWORDS
Optical spheres

Image filtering

Automatic target recognition

Nonlinear filtering

Pattern recognition

Computing systems

Image analysis

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