Paper
22 October 2001 Sequential correlation
Kevin S. Schweiker, Michael J. Mayercik
Author Affiliations +
Abstract
A technique is presented, based upon the sequential test of hypotheses, which combine the classical target recognition tasks of detection, classification and aimpoint selection into one operation. This technique exploits the fact that a sequential test of hypotheses converges, on the average, faster than a test of hypotheses based on a fixed number of samples. Results of this technique are illustrated with synthetic laser range images.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Kevin S. Schweiker and Michael J. Mayercik "Sequential correlation", Proc. SPIE 4379, Automatic Target Recognition XI, (22 October 2001); https://doi.org/10.1117/12.445406
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KEYWORDS
LIDAR

Optical spheres

Polonium

Analytical research

Detection and tracking algorithms

Image processing

Image segmentation

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