How sea mines threaten global trade, and how navies detect them

U.S. intelligence officials have detected a small number of Iranian mines in the Strait of Hormuz, posing a threat to global shipping along with missiles and drones.
The U.S. Navy has decommissioned its minesweeping vessels but retains other options for mine detection and neutralization.
Research on using artificial intelligence, particularly machine learning, is ongoing to enhance the detection of modern sea mines.
- Modern mines vary in type and method of detonation; many combine multiple sensing modalities like magnetic, acoustic, and pressure signatures.
- Common types are moored, influenced by the magnetic field; contact mines that trigger upon direct contact; and modern cylindrical or torpedo-shaped mines capable of sophisticated deployment.
Countermeasures for mines involve uncrewed systems to mimic ship signatures or employ explosive charges, alongside advanced detection methods.
- Mine detection involves a ‘detect-classify-identify’ pipeline combining sonar searches, automatic target recognition, and diver or camera confirmation.
Detection systems utilize advanced sonar and machine learning techniques, with deep learning showing promise but requiring substantial labeled data for training.
- Researchers are focusing on sonar data analysis, leveraging texture, intensity, and shadow features for mine identification; however, high-quality sonar data remains limited for training efficient deep learning models.