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Phase signatures in acoustic‐seismic land mine detection
Author(s) -
Wang Tsaipei,
Keller James M.,
Gader Paul D.,
Hocaoglu A. Koksal
Publication year - 2004
Publication title -
radio science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.371
H-Index - 84
eISSN - 1944-799X
pISSN - 0048-6604
DOI - 10.1029/2003rs002954
Subject(s) - constant false alarm rate , false alarm , computer science , phase (matter) , remote sensing , geology , acoustics , real time computing , pattern recognition (psychology) , seismology , artificial intelligence , physics , quantum mechanics
The utility of acoustic‐to‐seismic coupling systems for land mine detection has been clearly established with potential as either a primary or confirmation sensor system. They can detect very low metal content mines that are difficult for ground‐penetrating radar detection. For most applications, only the magnitude of the surface velocity is used to construct recognition algorithms. Recently, we introduced phase‐based features in the classification scheme, significantly lowering false alarm rates at given detection probabilities. In this paper we introduce modeling equations that explain the phase features. We also describe the image processing techniques applied to velocity data collected in the time domain.

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