Automated detection of watercraft in short-wave infrared imagery

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

来源：Optical Engineering, 2013, 52(7): 073109.

DOI：10.1117/1.OE.52.7.073109

• automated target detection
• wavelets
• image processing
• optimization
• differential evolution

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.

• 出版日期2013-7