SDA-Mask R-CNN: An Advanced Seabed Feature Extraction Network for UUV

SDA-Mask R-CNN: An Advanced Seabed Feature Extraction Network for UUV

This paper proposes a novel SDA-Mask R-CNN framework for precise seabed terrain edge feature extraction from Side-Scan Sonar (SSS) images to enhance Unmanned Underwater Vehicle (UUV) perception and navigation. The developed architecture addresses critical challenges in underwater image analysis, inc...

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Bibliographic Details
Main Authors: Yao Xiao, Dongchen Dai, Hongjian Wang, Chengfeng Li, Shaozheng Song
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Journal of Marine Science and Engineering
Subjects:
UUV
side-scan sonar
Mask R-CNN
feature extraction
Online Access:https://www.mdpi.com/2077-1312/13/5/863
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