Abstract: Algorithms for detecting land mines using theGEO-CENTERS, Vehicle-Based Energy Focusing GroundPenetrating Radar (EFGPR) are presented. The algorithmsrely on the use of hidden Markov models to model thetime-varying signatures produces by the interaction ofthe EFGPR and the landmines as the vehicle moves.Results are presented on isolated land mine signaturesisolated from calibration lane data from Fort A.P. Hillin the summer of 1998. !11
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机译：摘要：提出了利用GEO-CENTERS，基于车辆的能量聚焦地面穿透雷达（EFGPR）探测地雷的算法。该算法依靠使用隐马尔可夫模型来模拟EFGPR和地雷在车辆移动时产生的时变签名.1998年夏季，从福特希尔（Fort AP Hill）的校准车道数据中分离出了孤立的地雷签名。 ！11
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