Beschreibung
The Sub-Bottom Scanning Sonar (SBSS) is a project involving several companies and institutions,with the Royal Military Academy participating in the implementation of an acoustic scattering
model for objects partially or completely buried in the seabed, and employing Machine Learning
techniques for the detection and classification tasks of the targets.
Additional Description
Today, there are still hundreds of thousands of mines and UXOs (Unexploded Ordnances) in thesea, many of which are historical bombs that pose a danger to both civilian and military
activities. Due to sea currents and sediment movements, mines and UXOs placed on the seabed
can be buried at various depths, representing an additional hazard for offshore operations.
Furthermore, in the field of naval mine countermeasures (MCM), buried mines are a capability
gap for European Navies and, more broadly, for navies worldwide, as there is currently no
strategy capable of detecting buried objects by mapping large underwater areas reliably and
quickly.
To tackle this issue, it is proposed to use low-frequency SONAR to track these mines, which may
be buried or concealed by seabed vegetation or rocks. The acoustic frequency response at low
frequencies of an elastic object can be utilized for its detection and identification, taking into
account the effects that arise when the object is partially or completely buried.
| Zeitraum | 17 Apr. 2024 |
|---|---|
| Ereignistitel | Naval R&T Symposium 2024 |
| Veranstaltungstyp | Seminar |
| Ort | Brussels, BelgienAuf Karte anzeigen |
| Bekanntheitsgrad | BE Defense |