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31 May 1996 Classification of acoustic backscatter using the generalized target description
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Abstract
A new feature for the classification of echoes of a transmitted signal based on the generalized target description is described, and a framework for adaptive classification using it is presented. The generalized target description is a parametric model for the target impulse response. The feature is an order parameter from this model, which can be computed empirically from the growth rate of power as a function of a scale for a certain wavelet transform of the echo. A set of acoustic backscatter data consisting of returns from a mine and a rock with a linear FM transmit signal was analyzed. Parameters for the wavelet were computed from training sets so that this feature correctly distinguished 94% of the returns is test sets at 15 dB. The effectiveness of this feature as a classifier was found to degrade reasonably under increasing levels of synthetically generated reverberation noise. The simplest generalized target description model, a single order single center scatterer, was used. This model is not a realistic representation of the target impulse responses of either of the two objects, nevertheless it captured enough of the difference between the two to provide an effective classification tool.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Patricia H. Carter and Gerald J. Dobeck "Classification of acoustic backscatter using the generalized target description", Proc. SPIE 2765, Detection and Remediation Technologies for Mines and Minelike Targets, (31 May 1996); https://doi.org/10.1117/12.241221
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