Applications of hidden Markov models to detecting land mines withground-penetrating radar,

摘要

Abstract: Algorithms for detecting land mines using the GEO-CENTERS, Vehicle-Based Energy Focusing Ground Penetrating Radar (EFGPR) are presented. The algorithms rely on the use of hidden Markov models to model the time-varying signatures produces by the interaction of the EFGPR and the landmines as the vehicle moves. Results are presented on isolated land mine signatures isolated from calibration lane data from Fort A.P. Hill in the summer of 1998. !11