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Optical Engineering

Multistage infrared target detection
Author(s): Alex Lipchen Chan; Sandor Z. Der; Nasser M. Nasrabadi
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Paper Abstract

Algorithms are considered for searching wide-area forward-looking infrared imagery for military vehicles. Wide-area search has typically been handled by using a simple detection algorithm with low computational cost to search the entire image or set of images, followed by a clutter rejection algorithm that analyzes only those portions of the image that are marked by the detection algorithm. We start with a feature-based detector and an eigen-neural-based clutter rejecter, and examine a number of architectures for combining these modules to maximize joint performance. The architectures considered include a clutter rejection threshold method and a nonlinear learning-based combination. The performance of the architectures is compared using a set of several thousand real images.

Paper Details

Date Published: 1 September 2003
PDF: 9 pages
Opt. Eng. 42(9) doi: 10.1117/1.1593038
Published in: Optical Engineering Volume 42, Issue 9
Show Author Affiliations
Alex Lipchen Chan, Army Research Lab. (United States)
Sandor Z. Der, Army Research Lab. (United States)
Nasser M. Nasrabadi, Army Research Lab. (United States)


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