Continuous processing of acoustic data for landmine detection

Methods for processing continuously acquired data using an Acoustic/Seismic system are described. Data were acquired from 80-300 Hz. Two independent chains of processing were pursued. In one chain, pre-processing and normalization were followed by shape feature extraction using eccentricity and minor axis length. In another chain, Independent Component Analysis was used to generate image templates. The results were combined using piecewise linear discriminants. Probabilities of detection of 97.5% and 100% with false alarm rates of 0.01 and 0.03 were achieved on training and validation sets, respectively.