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Articles

Detection of buried objects in ground penetrating radar data using incremental nonnegative matrix factorization

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Pages 649-658 | Received 01 Nov 2018, Accepted 12 Mar 2019, Published online: 27 Mar 2019

References

  • Bucak, S. S., and B. Gunsel. 2009. “Incremental Subspace Learning via Non-Negative Matrix Factorization.” Pattern Recognition 42 (5): 788−797. doi:10.1016/j.patcog.2008.09.002.
  • Daniels, D. J., ed. 2004. Ground-Penetrating Radar. 2nd ed. London: Institution of Electrical Engineers.
  • Frigui, H., and P. Gader. 2009. “Detection and Discrimination of Land Mines in Ground-Penetrating Radar Based on Edge Histogram Descriptors and a Possibilistic K- Nearest Neighbor Classifier.” IEEE Transactions on Fuzzy Systems 17 (1): 185–199. doi:10.1109/TFUZZ.2008.2005249.
  • Gader, P., W. H. Lee, and J. N. Wilson. 2004. “Detecting Landmines with Ground- Penetrating Radar Using Feature-Based Rules, Order Statistics, and Adaptive Whitening.”.” IEEE Transactions on Geoscience and Remote Sensing 42 (11): 2522–2534. doi:10.1109/TGRS.2004.837333.
  • Gader, P. D., M. Mystkowski, and Y. Zhao. 2001. “Landmine Detection with Ground Penetrating Radar Using Hidden Markov Models.” IEEE Transactions on Geoscience and Remote Sensing 39 (6): 1231–1244. doi:10.1109/36.927446.
  • Giannakis, I., A. Giannopoulos, and C. Warren. 2016. “gprMax: Open Source Software to Simulate Electromagnetic Wave Propagation for Ground Penetrating Radar.” Computer Physics Communications 209: 163–170. doi:10.1016/j.cpc.2016.08.020.
  • Kumlu, D., and I. Erer. 2018. “Clutter Removal in GPR Images Using Non-Negative Matrix Factorization.” Journal of Electromagnetic Waves and Applications 32 (16): 2055–2066. doi:10.1080/09205071.2018.1489740.
  • Kumlu, D., and I. Erer. 2019. “Clutter Removal Techniques in Ground Penetrating Radar for Landmine Detection: A Survey.” In Operations Research for Military Organizations, edited by Hakan Tozan and Mumtaz Karatas, 375–399. IGI Global.
  • Lee, D. D., and H. S. Seung. 1999. “Learning the Parts of Objects by Non-Negative Matrix Factorization.” Nature 401 (6755): 788. doi:10.1038/44565.
  • Real GPR data. “Vrije Univ. Brussel (VUB).” [Online]. Accessed September 01 2011. http://www.minedet.etro.vub.ac.be
  • Torrione, P. A., K. D. Morton, R. Sakaguchi, and L. M. Collins. 2014. “Histograms of Oriented Gradients for Landmine Detection in Ground-Penetrating Radar Data.” IEEE Transactions on Geoscience and Remote Sensing 52 (3): 1539–1550. doi:10.1109/TGRS.2013.2252016.
  • Van Kempen, L., and H. Sahli, 2001. “Signal Processing Techniques for Clutter Parameters Estimation and Clutter Removal in GPR Data for Landmine Detection.” In Statistical Signal Processing, 2001. Proceedings of the 11th IEEE Signal Processing Workshop on, 158–161. doi: 10.1109/SSP.2001.955246.
  • Yoldemir, A. B., and M. Sezgin. 2011. “A Least Squares Approach to Buried Object Detection Using Ground Penetrating Radar.” IEEE Sensors Journal 11 (6): 1337–1341. doi:10.1109/JSEN.2010.2091500.
  • Zoubir, A. M., I. J. Chant, C. L. Brown, B. Barkat, and C. Abeynayake. 2002. “Signal Processing Techniques for Landmine Detection Using Impulse Ground Penetrating Radar.” IEEE Sensors Journal 2 (1): 41–51. doi:10.1109/7361.987060.

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