The study applies DAS on submarine cables with ML models to achieve over 90% F1-score vessel detection and 141 m mean distance error over a 10-day real-world test, releasing the full dataset.
Enhancing fibre-optic distributed acoustic sensing capabilities with blind near-field array signal processing,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
physics.geo-ph 1years
2025 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Vessel Detection and Localization Using Distributed Acoustic Sensing in Submarine Optical Fiber Cables
The study applies DAS on submarine cables with ML models to achieve over 90% F1-score vessel detection and 141 m mean distance error over a 10-day real-world test, releasing the full dataset.