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Proceedings Paper

Detection of small IR objects using wavelets, matched subspace detectors, and registration
Author(s): Gary A. Hewer; Wei Kuo; Charles Kenney; Grant Hanson; Jim Bobinchak
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Paper Abstract

Infrared sensors and advanced signal processing are used to detect small (or point) targets in highly cluttered and noisy environments. In this paper, a wavelet detection algorithm and tracking of small targets in clutter will be discussed. A new registration algorithm based on optical flow estimates with matched subspace detectors against small maneuverable targets is also discussed. Both detectors incorporate adaptive constant false alarm rate (CFAR) detection statistics. Simulation of the detection and tracking algorithms using an unclassified database with a helicopter target and platform for the video cameras is summarized.

Paper Details

Date Published: 7 August 2002
PDF: 12 pages
Proc. SPIE 4728, Signal and Data Processing of Small Targets 2002, (7 August 2002); doi: 10.1117/12.478504
Show Author Affiliations
Gary A. Hewer, Naval Air Warfare Ctr. (United States)
Wei Kuo, Naval Air Warfare Ctr. (United States)
Charles Kenney, Naval Air Warfare Ctr. (United States)
Grant Hanson, Naval Air Warfare Ctr. (United States)
Jim Bobinchak, Naval Air Warfare Ctr. (United States)


Published in SPIE Proceedings Vol. 4728:
Signal and Data Processing of Small Targets 2002
Oliver E. Drummond, Editor(s)

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