Colin C. Olson Sotera Defense Solutions (United States) K. Peter Judd U.S. Naval Research Lab. (United States) Krishnan Chander,Andrew J. Smith V Systems, Inc. (United States) Max Conant,Jonathan M. Nichols,James R. Waterman U.S. Naval Research Lab. (United States)
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.
Colin C. Olson, K. Peter Judd, Krishnan Chander, Andrew J. Smith, Max Conant, Jonathan M. Nichols, James R. Waterman, "Automated detection of watercraft in short-wave infrared imagery," Opt. Eng. 52(7) 073109 (17 July 2013)