Detection of small IR objects using wavelets, matched subspace detectors, and registration

Gary A. Hewer; Wei Kuo; Charles Kenney; Grant Hanson; Jim Bobinchak

doi:10.1117/12.478504

7 August 2002 Detection of small IR objects using wavelets, matched subspace detectors, and registration

Gary A. Hewer, Wei Kuo, Charles Kenney, Grant Hanson, Jim Bobinchak

Proceedings Volume 4728, Signal and Data Processing of Small Targets 2002; (2002) https://doi.org/10.1117/12.478504
Event: AeroSense 2002, 2002, Orlando, FL, United States

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.

Citation Download Citation

Gary A. Hewer, Wei Kuo, Charles Kenney, Grant Hanson, and Jim Bobinchak "Detection of small IR objects using wavelets, matched subspace detectors, and registration", Proc. SPIE 4728, Signal and Data Processing of Small Targets 2002, (7 August 2002); https://doi.org/10.1117/12.478504

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