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Proceedings Paper

Morphology-based algorithm for point target detection in infrared backgrounds
Author(s): Victor T. Tom; Tamar Peli; May Leung; Joseph E. Bondaryk
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Paper Abstract

A morphology-based algorithm has been developed for point target detection in IRST applications. It exhibits comparable detection and false alarm performance to a median filter. The morphology-based algorithm has an efficient computational paradigm based on combinations of simple nonlinear grayscale operations, which makes it ideally suited to real- time, high data rate IRST applications. A detection filter based on morphological background estimation exhibits spatial high-pass characteristics emphasizing target-like peaks in the data and suppressing all other clutter. Example cases are presented which point out the detection performance differences between the morphological and median approaches. Overall performance results were generated in the form of ROC curves for cloud, horizon and sea clutter IRAMMP backgrounds.

Paper Details

Date Published: 22 October 1993
PDF: 10 pages
Proc. SPIE 1954, Signal and Data Processing of Small Targets 1993, (22 October 1993); doi: 10.1117/12.157758
Show Author Affiliations
Victor T. Tom, Atlantic Aerospace Electronics Corp. (United States)
Tamar Peli, Atlantic Aerospace Electronics Corp. (United States)
May Leung, Atlantic Aerospace Electronics Corp. (United States)
Joseph E. Bondaryk, Atlantic Aerospace Electronics Corp. (United States)


Published in SPIE Proceedings Vol. 1954:
Signal and Data Processing of Small Targets 1993
Oliver E. Drummond, Editor(s)

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