TY - GEN
T1 - 3D ground adaptive synthetic aperture radar for landmine detection
AU - Yabushita, Hidenori
AU - Kanehama, Mitsuhiko
AU - Hirata, Yasuhisa
AU - Kosuge, Kazuhiro
N1 - Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].
PY - 2005
Y1 - 2005
N2 - In thts paper, we propose a new algorithm which shows a burzed landmine clearly tn an underground zmage captured by a ground penetrattng radar (GPR). By ustng GPR, we could extract the burzed object stgnals from a raw underground data of GPR. In additzon, we could create a high resolutzon underground zmage which focuses on burzed objects. The extractzon of burzed object stgnals from raw GPR data is achzeved by ustng two methods which are a feature extractzon processing method of underground zmage and a ground adaptive mantpulatzon method which manipulates the sensor head of GPR along a ground surface. Moreover, we propose novel synthetic aperture radar processtng, which could be applied to an uneven ground surface of a minefield, for detecttng the landmine clearly. The high resolutzon underground Zmage is obtatned by the proposed synthetic aperture radar processtng which is referred to as ground adaptive synthetic aperture radar algorithm. We developed a landmine detection robot, in which the proposed methods were Zmplemented. To evaluate the proposed methods, experiments concerning landmine detectzon are done and experimental results tllustrate the valtdity of the system. © 2005 IEEE.
AB - In thts paper, we propose a new algorithm which shows a burzed landmine clearly tn an underground zmage captured by a ground penetrattng radar (GPR). By ustng GPR, we could extract the burzed object stgnals from a raw underground data of GPR. In additzon, we could create a high resolutzon underground zmage which focuses on burzed objects. The extractzon of burzed object stgnals from raw GPR data is achzeved by ustng two methods which are a feature extractzon processing method of underground zmage and a ground adaptive mantpulatzon method which manipulates the sensor head of GPR along a ground surface. Moreover, we propose novel synthetic aperture radar processtng, which could be applied to an uneven ground surface of a minefield, for detecttng the landmine clearly. The high resolutzon underground Zmage is obtatned by the proposed synthetic aperture radar processtng which is referred to as ground adaptive synthetic aperture radar algorithm. We developed a landmine detection robot, in which the proposed methods were Zmplemented. To evaluate the proposed methods, experiments concerning landmine detectzon are done and experimental results tllustrate the valtdity of the system. © 2005 IEEE.
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U2 - 10.1109/IROS.2005.1545248
DO - 10.1109/IROS.2005.1545248
M3 - RGC 32 - Refereed conference paper (with host publication)
SN - 0780389123
SN - 9780780389120
T3 - 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS
SP - 2620
EP - 2625
BT - 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS
PB - IEEE Computer Society
ER -