Matching pursuits decomposition for discrimination of unexploded ordnance: Isolated and overlapping signatures

A method of generating features for classification of unexploded ordnance using matching pursuits decomposition is proposed as a possible alternative, or complement, to the use of a standard dipole model. The proposed matching pursuit decomposition with an application-specific dictionary was evaluated using measured signatures from both isolated anomalies and overlapping signatures interpolated from multiple, isolated anomalies. Results indicate that matching pursuits decomposition provides computationally inexpensive and consistent representations of the anomalies in feature space, suggesting the potential utility of such an approach for UXO classification. © 2008 IEEE.

Duke Scholars

Author Leslie M. Collins Electrical and Computer Engineering