Ground bounce tracking for landmine detection using a sequential Monte Carlo method

A Sequential Monte Carlo (SMC) method is proposed to locate the ground bounce (GB) positions in 3D data collected by ground penetrating radar (GPR) system. The algorithm is verified utilizing real data and improved landmine detection performance is achieved compared with three other GB trackers.

[1]  Inder J. Gupta,et al.  A novel signal processing technique for clutter reduction in GPR measurements of small, shallow land mines , 2000, IEEE Trans. Geosci. Remote. Sens..

[2]  Leslie M. Collins,et al.  Application of feature extraction methods for landmine detection using the Wichmann/Niitek ground-penetrating radar , 2005, IEEE Transactions on Geoscience and Remote Sensing.

[3]  P.A. Torrione,et al.  Performance of an adaptive feature-based processor for a wideband ground penetrating radar system , 2006, IEEE Transactions on Aerospace and Electronic Systems.

[4]  Erik G. Larsson,et al.  Adaptive ground bounce removal , 2001 .

[5]  Håkan Brunzell,et al.  Detection of shallowly buried objects using impulse radar , 1999, IEEE Trans. Geosci. Remote. Sens..

[6]  M. El-Shenawee,et al.  Modeling GPR signal degradation from random rough ground surface , 2000, IGARSS 2000. IEEE 2000 International Geoscience and Remote Sensing Symposium. Taking the Pulse of the Planet: The Role of Remote Sensing in Managing the Environment. Proceedings (Cat. No.00CH37120).

[7]  Neil J. Gordon,et al.  A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking , 2002, IEEE Trans. Signal Process..

[8]  Paolo Gamba,et al.  A fuzzy shell clustering approach to recognize hyperbolic signatures in subsurface radar images , 2000, IEEE Trans. Geosci. Remote. Sens..

[9]  Eric L. Miller,et al.  Statistical method to detect subsurface objects using array ground-penetrating radar data , 2002, IEEE Trans. Geosci. Remote. Sens..

[10]  Manuel Davy,et al.  An abrupt change detection algorithm for buried landmines localization , 2006, IEEE Transactions on Geoscience and Remote Sensing.

[11]  Rama Chellappa,et al.  Visual tracking and recognition using appearance-adaptive models in particle filters , 2004, IEEE Transactions on Image Processing.

[12]  Greg Welch,et al.  Welch & Bishop , An Introduction to the Kalman Filter 2 1 The Discrete Kalman Filter In 1960 , 1994 .

[13]  Joseph N. Wilson,et al.  Improving landmine detection using frequency domain features from ground penetrating radar , 2004, IGARSS 2004. 2004 IEEE International Geoscience and Remote Sensing Symposium.

[14]  Michael Isard,et al.  CONDENSATION—Conditional Density Propagation for Visual Tracking , 1998, International Journal of Computer Vision.

[15]  Paul D. Gader,et al.  A linear prediction land mine detection algorithm for hand held ground penetrating radar , 2002, IEEE Trans. Geosci. Remote. Sens..

[16]  Paul D. Gader,et al.  Landmine detection with ground penetrating radar using hidden Markov models , 2001, IEEE Trans. Geosci. Remote. Sens..