Detection of mines in acoustic images using higher order spectral features

Chandran, Vinod, Elgar, Steve, & Nguyen, Anthony (2002) Detection of mines in acoustic images using higher order spectral features. IEEE Journal of Oceanic Engineering, 27(3), pp. 610-618.

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Abstract

A new pattern-recognition algorithm detects approximately 90% of the mines hidden in the Coastal Systems Station Sonar0, 1, and 3 databases of cluttered acoustic images, with about 10% false alarms. Similar to other approaches, the algorithm presented here includes processing the images with an adaptive Wiener filter (the degree of smoothing depends on the signal strength in a local neighborhood) to remove noise without destroying the structural information in the mine shapes, followed by a two-dimensional FIR filter designed to suppress noise and clutter, while enhancing the target signature. A double peak pattern is produced as the FIR filter passes over mine highlight and shadow regions. Although the location, size, and orientation of this pattern within a region of the image can vary, features derived from higher order spectra (HOS) are invariant to translation, rotation, and scaling, while capturing the spatial correlations of mine-like objects. Classification accuracy is improved by combining features based on geometrical properties of the filter output with features based on HOS. The highest accuracy is obtained by fusing classification based on bispectral features with classification based on trispectral features.

Impact and interest:

28 citations in Scopus
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18 citations in Web of Science®

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ID Code: 9914
Item Type: Journal Article
Refereed: Yes
DOI: 10.1109/JOE.2002.1040943
ISSN: 0364-9059
Divisions: Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Copyright Owner: Copyright 2002 IEEE
Copyright Statement: Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Deposited On: 03 Oct 2007 00:00
Last Modified: 09 Jun 2010 12:47

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