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Title: Classification of subsurface objects using singular values derived from signal frames

The classification system represents a detected object with a feature vector derived from the return signals acquired by an array of N transceivers operating in multistatic mode. The classification system generates the feature vector by transforming the real-valued return signals into complex-valued spectra, using, for example, a Fast Fourier Transform. The classification system then generates a feature vector of singular values for each user-designated spectral sub-band by applying a singular value decomposition (SVD) to the N.times.N square complex-valued matrix formed from sub-band samples associated with all possible transmitter-receiver pairs. The resulting feature vector of singular values may be transformed into a feature vector of singular value likelihoods and then subjected to a multi-category linear or neural network classifier for object classification.
Authors:
;
Publication Date:
OSTI Identifier:
1130522
Report Number(s):
8,717,223
13/219,435
DOE Contract Number:
AC52-07NA27344
Resource Type:
Patent
Research Org:
LLNL (Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States))
Sponsoring Org:
USDOE
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING