Imaging Laser Radar Recognition Processing

H. R. Sellner; W. F. Matthews; B. J. Troidle; D. Larch; S. F. Miller; M. Hord

doi:10.1117/12.969783

1 March 1990 Imaging Laser Radar Recognition Processing

H. R. Sellner, W. F. Matthews, B. J. Troidle, D. Larch, S. F. Miller, M. Hord

Proceedings Volume 1192, Intelligent Robots and Computer Vision VIII: Algorithms and Techniques; (1990) https://doi.org/10.1117/12.969783
Event: 1989 Symposium on Visual Communications, Image Processing, and Intelligent Robotics Systems, 1989, Philadelphia, PA, United States

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.

Citation Download Citation

H. R. Sellner, W. F. Matthews, B. J. Troidle, D. Larch, S. F. Miller, and M. Hord "Imaging Laser Radar Recognition Processing", Proc. SPIE 1192, Intelligent Robots and Computer Vision VIII: Algorithms and Techniques, (1 March 1990); https://doi.org/10.1117/12.969783

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