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Optical Engineering

Adaptive wavelet classification of acoustic backscatter and imagery
Author(s): Brian A. Telfer; Harold H. Szu; Gerald J. Dobeck; Joseph P. Garcia; Hanseok Ko; Abinash C. Dubey; Ned H. Witherspoon
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Paper Abstract

The utility and robustness of wavelet features is demonstrated through three practical case studies of detecting objects in multispectral electro-optical imagery, sidescan sonar imagery, and acoustic backscatter. Attention is given to choosing proper waveforms for particular applications. Using artificial neural networks (ANNs), evidence is fused from multiple-waveform types that detect local features. The wavelet waveforms and their dilation and shift parameters are adaptively computed with ANNs to maximize classification accuracy. Emphasis is placed on the acoustic backscatter case study, involving detecting a metallic man-made object from natural and synthetic specular clutter with reverberation noise. The synthetic clutter is shown to be a good model for the natural clutter, which appears promising for avoiding huge data collection efforts for natural clutter and for better delineating the classification boundary. The classifier computes the locations, sizes, and weights of Gaussian patches in time-scale space that contain the most discriminatory information. This new approach is shown to give higher classification rates than an ANN with commonly used power spectral features. The new approach also reduces the number of free parameters in the classifier based on all wavelet features, which leads to simpler implementation for applications and to potentially better generalization to test data.

Paper Details

Date Published: 1 July 1994
PDF: 12 pages
Opt. Eng. 33(7) doi: 10.1117/12.172257
Published in: Optical Engineering Volume 33, Issue 7
Show Author Affiliations
Brian A. Telfer, Naval Surface Warfare Ctr. (United States)
Harold H. Szu, Naval Surface Warfare Ctr. (United States)
Gerald J. Dobeck, Naval Surface Warfare Ctr. (United States)
Joseph P. Garcia, Naval Surface Warfare Ctr. (United States)
Hanseok Ko, Naval Surface Warfare Ctr. (United States)
Abinash C. Dubey, Naval Surface Warfare Ctr. (United States)
Ned H. Witherspoon, Naval Surface Warfare Ctr. (United States)

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