Classification of ground vehicles from acoustic data using fuzzy logic rule-based classifiers: Early results

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 4743, Issue , 2002, Pages 62-72

  Wu, Hongwei ^a   Mendel, Jerry M ^a  

^a University of Southern California ^*  (United States)

Author keywords

[No Author keywords available]

Indexed keywords

FUZZY SETS; GROUND VEHICLES; KNOWLEDGE BASED SYSTEMS; SENSOR DATA FUSION;

GROUND VEHICLE CLASSIFICATION;

ACOUSTIC EMISSIONS;

EID: 0036442748     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.447466     Document Type: Conference Paper

References (6)

1. R.O. Duda, P.E. Hart and D.G. Stork, Pattern Classification, John Wiley & Sons, Inc., New York, NY, 2001.
2. D. Lake, Efficient Maximum Likelihood Estimation for Multiple and Coupled Harmonics, Army Research Laboratory, ARL-TR-2014, December, 1999.
3. J.M. Mendel, Uncertain Rule-Based Fuzzy Logic Systems: Introduction and New Directions, Prentice-Hall, Upper Saddle River, NJ, 2001.
4. J.A. Robertson and B. Weber, Artificial Neural Networks for Acoustic Target Recognition, joint report between ARL and ITT Research, 1993.
5. M.C. Wellman, N. Srour, and D.B. Hills, Acoustic Feature Extraction for a Neural Network Classifier, Army Research Laboratory, ARL-TR-1166, January, 1997.
6. H. Wu and J.M. Mendel, "Data Analysis and Feature Extraction for Ground Vehicle Identification Using Acoustic Data," presented at 2001 MSS Specialty Group Meeting on Battlefield Acoustic and Seismic Sensing, Magnetic and Electric Field Sensors, Johns Hopkins University, Laurel, MD, October, 2001.