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Optical Engineering

Optical correlation filter fusion for object detection
Author(s): David P. Casasent; Anqi Ye; John Scott Smokelin; Roland H. Schaefer
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Paper Abstract

We consider the detection of candidate objects (regions of interest) in a scene containing high clutter, multiple objects in different classes, independent of aspect view, with hot, cold, bimodal, and partial object variations and with high and low contrast targets. We use three different filters with each designed to produce high probability of detection (PD). We fuse the results from different outputs to reduce the probability of false alarms (PFA). All filters are realizable on an optical correlator.

Paper Details

Date Published: 1 June 1994
PDF: 10 pages
Opt. Eng. 33(6) doi: 10.1117/12.171567
Published in: Optical Engineering Volume 33, Issue 6
Show Author Affiliations
David P. Casasent, Carnegie Mellon Univ. (United States)
Anqi Ye, Carnegie Mellon Univ. (United States)
John Scott Smokelin, Carnegie Mellon Univ. (United States)
Roland H. Schaefer, Carnegie Mellon Univ. (United States)


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