Shape recognition of shallow buries metallic objects at X-band using ANN and image analysis techniques

Progress In Electromagnetics Research B

Volumn , Issue 13, 2009, Pages 257-273

  Singh, D ^a   Choudhary, N K ^a   Tiwari, K C ^a   Prasad, R ^b  

^a INDIAN INSTITUTE OF TECHNOLOGY ROORKEE   (India)

^b BANARAS HINDU UNIVERSITY   (India)

Author keywords

[No Author keywords available]

Indexed keywords

HORN ANTENNAS; IMAGE ENHANCEMENT; METALS; NEURAL NETWORKS; OBJECT DETECTION; REMOTE SENSING;

BACKSCATTERED SIGNAL; BURIED METALLIC OBJECTS; IMAGE ANALYSIS TECHNIQUES; MICROWAVE SIGNALS; ORIENTATION EFFECT; ROBUST ALGORITHM; SHAPE RECOGNITION; TRAINING TECHNIQUES;

MICROWAVE ANTENNAS;

EID: 64549086014     PISSN: 19376472     EISSN: None     Source Type: Journal    
DOI: 10.2528/pierb09010301     Document Type: Article

References (21)

1. Ulbay, F. T., R. K. Moore, and A. K. Fung, Microwave Remote Sensing (Active and Passive), First Ed., Vol. 3, Ch. 14, Addision-Wesley, New York, 1981.
2. Al-Nuaimy, W., Y. Huang, M. Nakhkash, M. T. C. Fang, V. T. Nguyen, and A. Eriksen, "Automatic detection of buried utilites and solid objects with GPR using neural networks and pattern recognition," Journal of Applied Geophysics, Vol. 43, 157-165, 2000.
3. Carosi, S. and G. Cevini, "An electromagnetic approach based on neural networks for the GPR investigation of buried cylinders," IEEE Geoscience and Remotes Sensing Letters, Vol. 2, No. 1, 2005.
4. Brunzell, H., "Detection of shallowly buried objects using impulse radar," IEEE Trans. Geosci. and Remote Sensing, Vol. 32, No. 2, 875-886, March 1999.
5. Yamaguchi, Y., Y. Maruyama, A. Kawakami, M. Sengoku, and T. Abe, "Detection of object buried in wet snowpack by FM-CW radar," IEEE Trans. Geosci. and Remote Sensing, Vol. 29, No. 2, 201-208, March 1991.
6. Franceschetti, G. and R. Lanari, Synthetic Aperture Radar Processing, CRC Press, 1999.
7. Yamaguchi, Y., M. Mitsumoto, M. Sengoku, and T. Abe, "Synthetic aperture FM-CW radar applied to the detection of objects buried in snowpack," IEEE Trans. Geosci. and Remote Sensing, Vol. 32, No. 1, 11-18, January 1994.
8. Carine, L., R. Kapoor, and C. E. Baum, "Polarimetric SAR imaging of buried landmines," IEEE Trans. Geosci. and Remote Sensing, Vol. 36, No. 6, 1985-1988, November 1998.
9. Christodoulou, C. and M. Georgiopoulos, Application of Neural Networks in Electromagnetics, Artech House, Boston, London, 2001.
10. Yoshida, T. and S. Omatu, "Neural network approach to land cover mapping," IEEE Trans. Geosci. and Remote Sensing, Vol. 32, No. 5, 1103 -1109, September 1994.
11. Tsintikidis, D., J. L. Haferman, E. N. Anagnostou, W. F. Karjewski, and T. F. Smith, "A Neural network approach to estimating rainfall from spaceborne microwave data," IEEE. Geosci. and Remote Sensing, Vol. 35, No. 5, 1079-1093, September 1997.
12. Bischof, H. and A. Leonardis, "Finding optimal neural networks for land use classification," IEEE Trans. Geosci. and Remote Sensing, Vol. 36, No. 1, 337-341, January 1998.
13. Morrow, I. L. and P. Gendern, "Effective imaging of buried dielectric object," IEEE Trans. Geosci. and Remote Sensing, Vol. 40, 943-949, 2002.
14. Sullivan, A., R. Damarla, N. Geng, Y. Dong, and L. Carin, "Ultrawide-band synthetic aperture radar for detection of unexploded ordinance: Modeling and measurement," IEEE Trans. Antennas Propagat., Vol. 48, 1306-1315, September 2000.
15. Tiwari, K. C., D. Singh, and M. K. Arora, "Development of a model for detection and estimation of depth of shallow buried non-metallioc landmine at microwave X-bang frequency," Progress In Electromagnetic Research, PIER 79, 2008.
16. Currie, N. C., Editor, Radar Reflectivity Measurement: Techniques and Application, Artech House, Norwood, MA, 1989.
17. Ulbay, F. T., R. K. Moore, and A. K. Fung, Active and Passive Remote Sensing, Vol. 1, Artech House, Norwood, MA, 1982.
18. Simon, H., Neural Networks, Prentice Hall, New Jersey, 2001.
19. Zurada, J. M., Introduction to Artificial Neural Systems, 2nd edition, Ch. 4, 163-219, Jaico Publishing House, Mumbai, 1997.
20. Hassoun, M. M., Fundamentals of Artificial Neural Networks, Ch. 6, 284-295, Prentice-Hall of India, New Delhi, 1999.
21. Abdou, I. E. and W. K. Pratt, "Quantative design and evaluation of enhancement/thresholding edge detector," Proceedings of the IEEE, Vol. 67, No. 5, 753-763, 1996.