Automated detection of watercraft in short-wave infrared imagery

Colin C. Olson; K. Peter Judd; Krishnan Chander; Andrew J. Smith; Max Conant; Jonathan M. Nichols; James R. Waterman

doi:10.1117/1.OE.52.7.073109

17 July 2013 Automated detection of watercraft in short-wave infrared imagery

Colin C. Olson, K. Peter Judd, Krishnan Chander, Andrew J. Smith, Max Conant, Jonathan M. Nichols, James R. Waterman

Author Affiliations +

Optical Engineering, 52(7), 073109 (2013). https://doi.org/10.1117/1.OE.52.7.073109

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.

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Colin C. Olson, Colin C. Olson, K. Peter Judd, K. Peter Judd, Krishnan Chander, Krishnan Chander, Andrew J. Smith, Andrew J. Smith, Max Conant, Max Conant, Jonathan M. Nichols, Jonathan M. Nichols, James R. Waterman, James R. Waterman, } "Automated detection of watercraft in short-wave infrared imagery," Optical Engineering 52(7), 073109 (17 July 2013). https://doi.org/10.1117/1.OE.52.7.073109 . Submission:

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