3D ground adaptive synthetic aperture radar for landmine detection

Hidenori Yabushita, Mitsuhiko Kanehama, Yasuhisa Hirata, Kazuhiro Kosuge

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)


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.

Original languageEnglish
Title of host publication2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS
PublisherIEEE Computer Society
Number of pages6
ISBN (Print)0780389123, 9780780389120
Publication statusPublished - 2005

Publication series

Name2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Human-Computer Interaction
  • Control and Systems Engineering


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