Small object detection in side-scan sonar images based on SOCA-YOLO and image restoration
Although side-scan sonar can provide wide and high-resolution views of submarine terrain and objects, it suffers from severe interference due to complex environmental noise, variations in sonar configuration (such as frequency, beam pattern, etc.), and the small scale of targets, leading to a high m...
Saved in:
| Main Authors: | Xiaodong Cui, Jiale Zhang, Lingling Zhang, Qunfei Zhang, Jing Han |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2025-04-01
|
| Series: | Frontiers in Marine Science |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fmars.2025.1542832/full |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
CKAN-YOLOv8: A Lightweight Multi-Task Network for Underwater Target Detection and Segmentation in Side-Scan Sonar
by: Yao Xiao, et al.
Published: (2025-05-01) -
Research on Improved YOLO11 for Detecting Small Targets in Sonar Images Based on Data Enhancement
by: Xiaochuan Wang, et al.
Published: (2025-06-01) -
Efficient processing of side-scan sonar images and fast detection of sparse targets in large-scale images
by: Xi Zhao, et al.
Published: (2025-08-01) -
Impact of Input Image Resolution on Deep Learning Performance for Side-Scan Sonar Classification: An Accuracy–Efficiency Analysis
by: Xing Du, et al.
Published: (2025-07-01) -
Recognition of Underwater Engineering Structures Using CNN Models and Data Expansion on Side-Scan Sonar Images
by: Xing Du, et al.
Published: (2025-02-01)