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Proceedings Paper

Target detection with local discriminant bases and wavelets
Author(s): Goran Kronquist; Henrik Storm
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Paper Abstract

A local discrimination basis is selected among the possible wavelet packet bases in order to create a two-class classifier for high dimensional signals. We use the classifier for target detection in images and signals. The position of the target is also determined. A method invariant to the localization of the target in the analyzed image is developed in order to reduce the time complexity of the algorithm. We apply the method on mine detection in sonar images.

Paper Details

Date Published: 2 August 1999
PDF: 9 pages
Proc. SPIE 3710, Detection and Remediation Technologies for Mines and Minelike Targets IV, (2 August 1999); doi: 10.1117/12.357089
Show Author Affiliations
Goran Kronquist, Summus, Ltd. (United States)
Henrik Storm, Summus, Ltd. (United States)


Published in SPIE Proceedings Vol. 3710:
Detection and Remediation Technologies for Mines and Minelike Targets IV
Abinash C. Dubey; James F. Harvey; J. Thomas Broach; Regina E. Dugan, Editor(s)

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