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Optical Engineering

Automated detection of watercraft in short-wave infrared imagery
Author(s): Colin C. Olson; K. Peter Judd; Krishnan Chander; Andrew J. Smith; Max Conant; Jonathan M. Nichols; James R. Waterman
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Paper Abstract

An automated approach for detecting the presence of watercraft in a maritime environment characterized by regions of land, sea, and sky, as well as multiple targets and both water- and land-based clutter, is described. The detector correlates a wavelet model of previously acquired images with those obtained from newly acquired scenes. The resulting detection statistic outperforms two other detectors in terms of probability of detection for a given (low) false alarm rate. It is also shown how the detection statistics associated with different wavelet models can be combined in a way that offers still further improvements in performance. The approach is demonstrated to be effective in finding watercraft in previously collected short-wave infrared imagery.

Paper Details

Date Published: 17 July 2013
PDF: 9 pages
Opt. Eng. 52(7) 073109 doi: 10.1117/1.OE.52.7.073109
Published in: Optical Engineering Volume 52, Issue 7
Show Author Affiliations
Colin C. Olson, Sotera Defense Solutions (United States)
K. Peter Judd, U.S. Naval Research Lab. (United States)
Krishnan Chander, V Systems, Inc. (United States)
Andrew J. Smith, V Systems, Inc. (United States)
Max Conant, U.S. Naval Research Lab. (United States)
Jonathan M. Nichols, U.S. Naval Research Lab. (United States)
James R. Waterman, U.S. Naval Research Lab. (United States)


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