Multiscale target manifold characterization for 3D imaging ladar

Estille Whittenberger; Donald Waagen; Nitesh Shah; Donald Hulsey

doi:10.1117/12.776959

13 May 2008 Multiscale target manifold characterization for 3D imaging ladar

Estille Whittenberger, Donald Waagen, Nitesh Shah, Donald Hulsey

Proceedings Volume 6950, Laser Radar Technology and Applications XIII; 69500F (2008) https://doi.org/10.1117/12.776959
Event: SPIE Defense and Security Symposium, 2008, Orlando, Florida, United States

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.

Citation Download Citation

Estille Whittenberger, Donald Waagen, Nitesh Shah, and Donald Hulsey "Multiscale target manifold characterization for 3D imaging ladar", Proc. SPIE 6950, Laser Radar Technology and Applications XIII, 69500F (13 May 2008); https://doi.org/10.1117/12.776959

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KEYWORDS

LIDAR

Matrices

3D image processing

Image segmentation

3D modeling

3D acquisition

Principal component analysis

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