Classification of subsurface objects using singular values derived from signal frames

Chambers, David H; Paglieroni, David W

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

Patent · Tue May 06 00:00:00 EDT 2014

OSTI ID:1130522

Chambers, David H; Paglieroni, David W

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.

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Research Organization:: Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)

Sponsoring Organization:: USDOE

DOE Contract Number:: AC52-07NA27344

Assignee:: Lawrence Livermore National Security, LLC (Livermore, CA)

Patent Number(s):: 8,717,223

Application Number:: 13/219,435

OSTI ID:: 1130522

Country of Publication:: United States

Language:: English

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