Classification of subsurface objects using singular values derived from signal frames

US8717223B2 · kind B2 · utility

Assignee

• Lawrence Livermore National Security, LLC · US

Inventors

• David Chambers · Livermore, US
• David W. Paglieroni · Pleasanton, US

Key dates

• Filing date: Aug 26, 2011
• Grant date: May 6, 2014
• Expiry date: Jul 30, 2032

Classification

• Technology area (CPC G): Physics
• CPC primary: G06N99/00
• WIPO field: Measurement
• WIPO sector: Instruments

Abstract

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×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.