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Proceedings Paper

Watercraft detection in short-wave infrared imagery using a tailored wavelet basis
Author(s): C. C. Olson; K. P. Judd; K. Chander; A. J. Smith; M. Conant; J. M. Nichols
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Paper Abstract

We present a technique for small watercraft detection in a littoral environment characterized by multiple targets and both land- and sea-based clutter. The detector correlates a tailored wavelet model trained from previous imagery with newly acquired scenes. An optimization routine is used to learn a wavelet signal model that improves the average probability of detection for a xed false alarm rate on an ensemble of training images. The resulting wavelet is shown to improve detection on a previously unseen set of test images. Performance is quantied with ROC curves.

Paper Details

Date Published: 2 May 2012
PDF: 11 pages
Proc. SPIE 8391, Automatic Target Recognition XXII, 83910K (2 May 2012); doi: 10.1117/12.919943
Show Author Affiliations
C. C. Olson, Sotera Defense Solutions (United States)
K. P. Judd, U.S. Naval Research Lab. (United States)
K. Chander, V Systems, Inc. (United States)
A. J. Smith, V Systems, Inc. (United States)
M. Conant, ONR SEAP Student (United States)
J. M. Nichols, U.S. Naval Research Lab. (United States)

Published in SPIE Proceedings Vol. 8391:
Automatic Target Recognition XXII
Firooz A. Sadjadi; Abhijit Mahalanobis, Editor(s)

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