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Proceedings Paper

Multiscale target manifold characterization for 3D imaging ladar
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Paper Abstract

Manifold extraction techniques, such as ISOMAP, are capable of projecting nonlinear, high-dimensional data to a lower-dimensional subspace while retaining discriminatory information. In this investigation, ISOMAP is applied to 3D LADAR range imagery. Selected man-made objects are reduced to sets of spin-image feature vectors that describe object surface geometries. At various spin-image support scales, we use the distribution-free Henze-Penrose statistic test to quantify differences between man-made objects in both the high-dimensional spin-image vector representation and in the low-dimensional spin-image manifold extracted using ISOMAP.

Paper Details

Date Published: 13 May 2008
PDF: 10 pages
Proc. SPIE 6950, Laser Radar Technology and Applications XIII, 69500F (13 May 2008); doi: 10.1117/12.776959
Show Author Affiliations
Estille Whittenberger, Raytheon Missile Systems (United States)
Donald Waagen, Raytheon Missile Systems (United States)
Nitesh Shah, Raytheon Missile Systems (United States)
Donald Hulsey, Raytheon Missile Systems (United States)

Published in SPIE Proceedings Vol. 6950:
Laser Radar Technology and Applications XIII
Monte D. Turner; Gary W. Kamerman, Editor(s)

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