A Sonar Image Target Detection Method with Low False Alarm Rate Based on Self-Trained YOLO11 Model
Autonomous detection of sonar image targets is a key technology for unmanned undersea systems, but it faces the challenge of high false alarm rates in practical applications, which limits the quality and efficiency of mission execution by unmanned underwater systems. In this paper, an underwater tar...
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| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | Chinese |
| Published: |
Science Press (China)
2025-04-01
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| Series: | 水下无人系统学报 |
| Subjects: | |
| Online Access: | https://sxwrxtxb.xml-journal.net/cn/article/doi/10.11993/j.issn.2096-3920.2024-0165 |
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