학술논문

Matching Pursuits Decomposition for Discrimination of Unexploded Ordnance: Isolated and Overlapping Signatures
Document Type
Conference
Source
IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International. 2:II-21-II-24 Jul, 2008
Subject
Geoscience
Signal Processing and Analysis
Matching pursuit algorithms
Dictionaries
Frequency measurement
Independent component analysis
Electromagnetic interference
Sensor phenomena and characterization
Electromagnetic measurements
Resonant frequency
Signal analysis
Physics computing
Subsurface sensing
unexploded ordnance modeling
matching pursuits
Language
ISSN
2153-6996
2153-7003
Abstract
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.