Detection & Classification
Buried, or even partially buried, mines cannot be detected by electro-optical means. However, acoustic detection and classification of buried mines via sonar is a viable alternative. Metron is currently developing numerical modeling software to simulate the propagation of sonar pulses through the ocean and the physics of acoustic scattering from objects situated near the ocean bottom. The model accurately accounts for multipath interference, focusing, beamforming, bottom reverberation and sources of noise. The model is accurate, flexible, robust and has been successfully verified against independent numerical methods.
Metron's sonar simulation model is now being used to develop innovative signal processing techniques for detection and classification of buried mines. The numerical model provides understanding and insight into the physics of scattering, which in turn helps us identify a set of prominent features to extract from the return signal. The model also allows for the fusion of multi-aspect data which can increase the robustness of the classifier. In addition, the simulation code can generate synthetic data for training automatic target recognition (CAD/CAC) algorithms, and can provide data to higher-level models concerned with identifying successful tactics and concepts of operation. Together, these efforts will increase the Navy's capability to respond effectively to enemy mine threats.