SonarNet: Global Feature-Based Hybrid Attention Network for Side-Scan Sonar Image Segmentation

SonarNet: Global Feature-Based Hybrid Attention Network for Side-Scan Sonar Image Segmentation

With the rapid advancement of deep learning techniques, side-scan sonar image segmentation has become a crucial task in underwater scene understanding. However, the complex and variable underwater environment poses significant challenges for salient object detection, with traditional deep learning a...

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Bibliographic Details
Main Authors: Juan Lei, Huigang Wang, Liming Fan, Qingyue Gu, Shaowei Rong, Huaxia Zhang
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Remote Sensing
Subjects:
salient object detection
global feature extraction
self-attention mechanism
underwater sonar
mamba
hybrid attention mechanism
Online Access:https://www.mdpi.com/2072-4292/17/14/2450
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