用弱监督方法实现高精度暗船检测与定位

Sea-Scan: High-Accuracy, ML-based Dark Vessel Detection and Localisation via Weakly Supervised DAS Monitoring

• 基于不完整AIS标签的弱监督训练
• 检测率97.8%，误触发率仅1.98%
• 可从无标注数据中识别暗船事件

我们提出一种基于机器学习的船舶检测与定位系统，利用不完整的AIS标签进行弱监督训练，在1.98%的误触发率下实现97.8%的检测率，成功从未标注数据中识别出暗船事件。

原文摘要 · Abstract (English)

We present an ML-based vessel detection and localization system, trained with weak supervision from imperfect AIS labels, that achieves a 97.8% detection rate at 1.98% false-trigger rate, successfully identifies dark-vessel events from unlabeled data.

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