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Proceedings Paper

Morphology-based detection/discrimination of ground vehicles in terrain board FLIR imagery
Author(s): Tamar Peli; Dave Widder; Stephen J. Plante; Peter T. Monsen; Laura Fulton Bennett
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Paper Abstract

This paper describes a unified set of algorithms for the detection and discrimination of ground vehicles in second generation FLIR imagery. The computational substrate uses morphological signal processing and fractal analysis for a potential high-speed hardware implementation. The reported results are focused on the discrimination stage of the overall process. We demonstrate significant false alarm reduction through the use of textural and structural measures and a multistage discrimination procedure. The multistage discrimination process combines hard thresholding and fuzzy classification logic.

Paper Details

Date Published: 5 July 1995
PDF: 8 pages
Proc. SPIE 2485, Automatic Object Recognition V, (5 July 1995); doi: 10.1117/12.213073
Show Author Affiliations
Tamar Peli, Atlantic Aerospace Electronics Corp. (United States)
Dave Widder, Atlantic Aerospace Electronics Corp. (United States)
Stephen J. Plante, Atlantic Aerospace Electronics Corp. (United States)
Peter T. Monsen, Atlantic Aerospace Electronics Corp. (United States)
Laura Fulton Bennett, U.S. Army Research Lab. (United States)

Published in SPIE Proceedings Vol. 2485:
Automatic Object Recognition V
Firooz A. Sadjadi, Editor(s)

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