Side-Scan Sonar Small Objects Detection Based on Improved YOLOv11
Underwater object detection using side-scan sonar (SSS) remains a significant challenge in marine exploration, especially for small objects. Conventional methods for small object detection face various obstacles, such as difficulties in feature extraction and the considerable impact of noise on dete...
Saved in:
Main Authors: | Chang Zou, Siquan Yu, Yankai Yu, Haitao Gu, Xinlin Xu |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2025-01-01
|
Series: | Journal of Marine Science and Engineering |
Subjects: | |
Online Access: | https://www.mdpi.com/2077-1312/13/1/162 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
AquaYOLO: Enhancing YOLOv8 for Accurate Underwater Object Detection for Sonar Images
by: Yanyang Lu, et al.
Published: (2025-01-01) -
A Comparative Analysis of YOLOv9, YOLOv10, YOLOv11 for Smoke and Fire Detection
by: Eman H. Alkhammash
Published: (2025-01-01) -
A Lightweight Anti-Unmanned Aerial Vehicle Detection Method Based on Improved YOLOv11
by: Yunlong Gao, et al.
Published: (2024-12-01) -
Multi-Classification Using YOLOv11 and Hybrid YOLO11n-MobileNet Models: A Fire Classes Case Study
by: Eman H. Alkhammash
Published: (2025-01-01) -
Underwater Target Detection with High Accuracy and Speed Based on YOLOv10
by: Zhengliang Hu, et al.
Published: (2025-01-01)