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Proceedings Paper

Imaging Laser Radar Recognition Processing
Author(s): H. R. Sellner; W. F. Matthews; B. J. Troidle; D. Larch; S. F. Miller; M. Hord
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Paper Abstract

Laser reflectance and range data from the Perkin-Elmer 3-D Imaging Laser Radar (ILR) were processed to detect and recognize camouflaged targets among trees. This processing is composed of two stages: phase ambiguity removal and statistical pattern recognition. Three techniques are described to remove phase ambiguities, one utilizing a dual modulation scheme in hardware to lengthen the effective ambiguity interval, the others taking advantage of the special characteristics of the data itself and processing via computer. Additional processing is described to convert range data into height above local ground. The second stage was statistical pattern recognition. Prescreening of data was performed utilizing a Bayesian classifier in a three element feature vector. Connected components were identified as potential targets. They were then sized relative to the possible dimensions of expected targets to complete the recognition process.

Paper Details

Date Published: 1 March 1990
PDF: 10 pages
Proc. SPIE 1192, Intelligent Robots and Computer Vision VIII: Algorithms and Techniques, (1 March 1990); doi: 10.1117/12.969783
Show Author Affiliations
H. R. Sellner, Perkin-Elmer Corporation (United States)
W. F. Matthews, Perkin-Elmer Corporation (United States)
B. J. Troidle, Perkin-Elmer Corporation (United States)
D. Larch, MRJ Inc. (United States)
S. F. Miller, MRJ Inc. (United States)
M. Hord, MRJ Inc. (United States)

Published in SPIE Proceedings Vol. 1192:
Intelligent Robots and Computer Vision VIII: Algorithms and Techniques
David P. Casasent, Editor(s)

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