Landmine buried depth estimation by curve characterization of metal mine detector signals

Humanitarian demining aims at clearing landmine affected areas, but the current manual demining techniques are still slow, costly and dangerous. Discrimination methods for distinguishing between real mines and metal fragments would greatly increase efficiency of such demining operations, but none practical solution has been implemented yet. Important information for discrimination are the depth which targets are buried, so estimation methods of this physical property are desired. In this research, a new, accurate and fast method based on Spatially Represented Metal Mine Detector Signals for estimating metallic targets depths using Metal Mine Detectors is presented, which takes advantage of high precision scanning of the minefield using robotic manipulator.

[1]  Amanda Mahoney.  Mine Detection Rats: Effects of Repeated Extinction on Detection Rates , 2012 .

[2]  広瀬 茂男,et al.  Study of Discrimination Methods for Metal Fragments and Mines in Humanitarian Demining Tasks , 2010 .

[3]  Leslie M. Collins,et al.  A statistical approach to landmine detection using broadband electromagnetic induction data , 2002, IEEE Trans. Geosci. Remote. Sens..

[4]  Peter Ngan,et al.  Handheld standoff mine detection system (HSTAMIDS) field evaluation in Thailand (Invited Paper) , 2005, SPIE Defense + Commercial Sensing.

[5]  Leslie M. Collins,et al.  Discrimination mode processing for EMI and GPR sensors for hand-held land mine detection , 2004, IEEE Transactions on Geoscience and Remote Sensing.

[6]  Edwardo F. Fukushima,et al.  Development of an Automatic Landmine Detection and Marking System for the Demining Robot Gryphon , 2011, J. Adv. Comput. Intell. Intell. Informatics.

[7]  Jun Ishikawa,et al.  Test and evaluation of Japanese GPR-EMI dual-sensor systems at Benkovac Test Site in Croatia , 2007 .

[8]  Humanitarian Demining,et al.  Mine Detection Dogs: Training, Operations and Odour Detection , 2003 .

[9]  Abinash C. Dubey,et al.  Detection and Remediation Technologies for Mines and Minelike Targets II , 1997 .

[10]  Shigeo Hirose,et al.  Improved Landmine Discrimination With an Off - the-Shelf Metal Detector , 2008 .

[11]  Leslie M. Collins,et al.  Classification of landmine-like metal targets using wideband electromagnetic induction , 2000, IEEE Trans. Geosci. Remote. Sens..

[12]  Motoyuki Sato,et al.  Development of a hand-held GPR MD sensor system (ALIS) , 2005, SPIE Defense + Commercial Sensing.

[13]  H. Ewald,et al.  Handheld metal detector with online visualisation and classification for the humanitarian mine clearance , 2008, 2008 IEEE Sensors.

[14]  Joseph N. Wilson,et al.  Land Mine and Clutter Object Discrimination Using Wavelet and Time Domain Spatially Distributed Features from Metal Detectors and Their Fusion with GPR Features for Hand-Held Units , 2007 .

[15]  Lloyd S. Riggs,et al.  Identification of metallic mine-like objects using low frequency magnetic fields , 2001, IEEE Trans. Geosci. Remote. Sens..