17 July 2013 Automated detection of watercraft in short-wave infrared imagery
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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.
© 2013 Society of Photo-Optical Instrumentation Engineers (SPIE)
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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