Hidden Markov models and morphological neural networks for GPR-based land mine detection

You are here: Homepage > Search

Hidden Markov models and morphological neural networks for GPR-based land mine detection

Hidden Markov models and morphological neural networks for GPR-based land mine detection

Gader, P.D. / Hocaoglu, A.K. / Mystkowski, M. / Zhao, Yunxin

Previous results with hidden Markov models showed that they could be used to perform reliable classification between mines and background/clutter under a variety of conditions. Since the, new features have been defined and continuous models have been implemented. In this paper, new results are presented for applying them to calibration lane GPR data obtained during the vehicle mounted mine detection (VMMD) Advanced Technology Demonstrations. Morphological Neural Networks can be trained to perform feature extraction and detection simultaneously. Generalizing these networks to incorporate Choquet Integrals provides the added capability of robustness and improved feature learning. These features can provide complementary information compared to those generate by humans. Result of applying these networks to calibration lane GPR data from the VMMD Advanced Technology Demonstrations are provided. Combinations of the various methodologies with previously developed algorithms are also evaluated.

Access

Check availability in my library

Order at Subito €

Export, share and cite

Document information

Title :

Hidden Markov models and morphological neural networks for GPR-based land mine detection

Contributors:

Gader, P.D. (author) / Hocaoglu, A.K. (author) / Mystkowski, M. (author) / Zhao, Yunxin (author)

Published in:

Detection and Remediation Technologies for Mines and Minelike Targets, 5 ; 1096-1107

Proceedings of the SPIE - The International Society for Optical Engineering ; 4038, pt.1-2

Publication date :

2000

Size :

12 Seiten, 15 Quellen

ISSN :

DOI :

https://doi.org/10.1117/12.396195

Type of media :

Conference paper

Type of material :

Print

Language :

English

Keywords :

Merkmalextraktionsverfahren , mathematische Morphologie , neuronales Netz , Radaranwendung , Clutter , Klassifikation , Merkmalerkennung , Robustheit

Similar titles

Hybrid Hidden Markov Models and Neural Networks Based on Face Recognition

Wang, M.Q. / Gao, D.B. / Hong, Z.X. et al. | British Library Conference Proceedings | 2014

Crash Detection System Using Hidden Markov Models

Chou, Clifford C. / Singh, Gautam B. / Song, Haiping | SAE Technical Papers | 2004

Crash Detection System Using Hidden Markov Models

Singh, G. B. / Song, H. / Chou, C. C. et al. | British Library Conference Proceedings | 2004

Crash detection system using hidden markov models

Singh,G.B. / Song,H. / Chou,C.C. et al. | Automotive engineering | 2004

Flame Detection in Video using Hidden Markov Models

Toreyin, B. U. / Dedeoglu, Y. / Cetin, A. E. | British Library Conference Proceedings | 2005

Access

Check availability in my library

Order at Subito €

Page navigation

Document information

Export, share and cite