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Proceedings Paper

Superior data for superior information: multidiscriminate ladar
Author(s): Paul F. McManamon
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Paper Abstract

Complex environments require quality information to make proper decisions. In this paper I will emphasize ladar sensing for complex environments, especially for identification of objects in a complex environment. The right sensor provides data that can easily be converted to desired information. This allows both automated cuing, and possibly even automatic object recognition. Ladar has the most discriminates of any sensor modality. Optical sensors have much higher real beam resolution than microwave sensors. Active sensors have control of the object illumination, which can provide additional information compared to a passive sensor. Because ladar is an active EO sensing modality you have high real beam resolution, and control of the illumination pattern. Ladar can provide a 3D image, grey scale in multiple colors, velocity and vibration information, polarization properties of the object viewed, and even speckle properties of the surface of the viewed object. Also, 3D shape is a mostly invariant discriminate, assisting in high confidence object recognition.

Paper Details

Date Published: 11 October 2012
PDF: 7 pages
Proc. SPIE 8482, Photonic Innovations and Solutions for Complex Environments and Systems (PISCES), 84820B (11 October 2012); doi: 10.1117/12.928056
Show Author Affiliations
Paul F. McManamon, Univ. of Dayton (United States)


Published in SPIE Proceedings Vol. 8482:
Photonic Innovations and Solutions for Complex Environments and Systems (PISCES)
Akhlesh Lakhtakia; Judith Ann Todd, Editor(s)

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