MSF-DETR: A small target detection algorithm for sonar images based on spatial-frequency domain collaborative feature fusion.

ABSTRACT: Side-scan sonar imaging is essential for underwater target detection in marine exploration and engineering applications, yet small target detection faces significant challenges including limited frequency domain feature utilization, insufficient multi-scale feature fusion, and high computational complexity. This study develops Multi-Scale Spatial-Frequency Collaborative Detection Transformer (MSF-DETR), a novel end-to-end automatic detection algorithm specifically designed for small targets in side-scan sonar images. The method integrates three core innovations: a Multi-domain Adaptive Spatial-frequency Network (MASNet) backbone employing Cascaded dual-domain Mamba-enhanced Spatial-frequency Synergistic Convolution that simultaneously captures spatial geometric and frequency domain texture

SUBMITTER: Zhao H 

PROVIDER: S-EPMC12617901 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature