22 May 2015 Aided target recognition using hyperdimensional manifolds
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Abstract
We explore the use of hyperdimensional manifolds on Automatic Target Recognition (ATR) using Synthetic Aperture Radar (SAR) imagery. Data that occupies within a hyperdimensional space can be exploited using measures constrained along the inherent structure (manifold). When compared to multiple manifolds representing different classes. associations can be made by utilizing these constrained measures and data clusters to assign the closest class. We also explore the use of sparsely estimated manifolds (limited training data) and its impact on ATR results on SAR imagery.
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Kenny Chen, Kenny Chen, Robert Stanfill, Robert Stanfill, Abhijit Mahalanobis, Abhijit Mahalanobis, } "Aided target recognition using hyperdimensional manifolds", Proc. SPIE 9476, Automatic Target Recognition XXV, 94760E (22 May 2015); doi: 10.1117/12.2180942; https://doi.org/10.1117/12.2180942
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