
Proceedings Paper
Using non-negative matrix factorization toward finding an informative basis in spin-image dataFormat | Member Price | Non-Member Price |
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Paper Abstract
Three-dimensional (3D) Laser Detection and Ranging (LADAR) range data is being investigated for automatic target
recognition applications. The spin-image provides a useful data representation for 3D point cloud data. In the spirit of
recent work that shows ℓ1-sparseness to be a useful data compression metric, we propose to use Nonnegative Matrix
Factorization (NMF) to help find features that capture the salient information resident in the spin-image representation.
NMF is a technique for decomposing nonnegative multivariate data into its 'parts', resulting in a compressed and usually
sparse representation. As a surrogate for measured 3D LADAR data, we generate 3D point clouds from computer-aided-design
models of two land targets, and we generate spin-images at multiple support scales. We select the support scale
that provides the highest separability between the spin-image stacks from the two land targets. We then apply NMF to
the spin-images at this support scale, and seek elements corresponding to meaningful parts of the land vehicles (e.g., a
tank turret or truck wheels), that in a joint sense should provide significant discriminative capability. We measure the
separability in the sparse NMF subspace. For measuring separability, we use the Henze-Penrose measure of multivariate
distributional divergence.
Paper Details
Date Published: 14 April 2008
PDF: 9 pages
Proc. SPIE 6967, Automatic Target Recognition XVIII, 696710 (14 April 2008); doi: 10.1117/12.776964
Published in SPIE Proceedings Vol. 6967:
Automatic Target Recognition XVIII
Firooz A. Sadjadi; Abhijit Mahalanobis, Editor(s)
PDF: 9 pages
Proc. SPIE 6967, Automatic Target Recognition XVIII, 696710 (14 April 2008); doi: 10.1117/12.776964
Show Author Affiliations
Andrew J. Patterson, Raytheon Missile Systems (United States)
Nitesh N. Shah, Raytheon Missile Systems (United States)
Nitesh N. Shah, Raytheon Missile Systems (United States)
Donald E. Waagen, Raytheon Missile Systems (United States)
Published in SPIE Proceedings Vol. 6967:
Automatic Target Recognition XVIII
Firooz A. Sadjadi; Abhijit Mahalanobis, Editor(s)
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