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Method for determining Classification Significant Features from Acoustic Signature of Mine-like buried objects

D. Antonic
Ministry of the Interior,
Zagreb, Croatia
Email : davor.antonic@fer.hr
M. Zagar
Faculty of Electrical Engineering and Computing, University of Zagreb
Zagreb, Croatia
Email : mario.zagar@fer.hr
Contact

Abstract

1. INTRODUCTION

2. SIGNAL ANALYSIS

3. FEATURE EXTRACTION

CLASSIFICATION

5. CONCLUSION

References

  1. Aha, D.W., Bankert, R.L., A Comparative Evaluation of Sequential Feature Selection Algorithms, In. Fisher, D., Lenz, J.H. (Eds.), Artificial Intelligence and Statistics, Springer-Verlag, New York, 1996
  2. Antonic, D., Improving the Process of Manual Probing, SUSDEM'97, Zagreb 1997
  3. Antonic, D., Ratkovic, I., Ground Probing Sensor for Automated Mine Detection, KoREMA'96-41st Annual Conference, Opatija, Croatia, Sept. 1996, pp. 137-140
  4. Banks, E., Anti-Personnel Landmines: Recognising & Disarming, Brasseys Inc., 1998
  5. Dash, M., Liu. H., Feature Selection Methods for Classification, Intelligent Data Analysis: An International Journal, Vol. 1, No. 3, 1997
  6. Dash, M., Liu. H., Hybrid Search of Feature Subsets, PRICAI'98, Singapore, Springer-Verlag, Nov. 1998, pp. 238-249
  7. Dawson-Howe, K.M., Williams, T.G., Automating the Probing Process, SUSDEM'97, Zagreb 1997
  8. Scherf, M., Brauer, W., Feature Selection By Means of a Feature Weighting Approach, Forschungsbarichte Künstliche Intelligenz FKI-221-97, Techniche Universität München, 1997 (ISSN 0941-6358)

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