Side-scan sonar object detection via adaptive frequency-domain purification and multi-scale contextual fusion

2026-08-11

PRE

Chulong Lv

Heng Wu *

Wei Meng

Chunhua He

Huapan Xiao

DOI：10.1016/j.optlastec.2026.116138

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• A new network addresses missed detections in noisy side-scan sonar images. • Multi-scale perception distinguishes targets from complex backgrounds. • Frequency domain processing suppresses noise to purify feature maps. • Guided feature fusion improves detection of faint and ambiguous targets. • The lightweight model achieves high accuracy with low computational cost.

Keywords:

Side-scan sonar

Object detection

Lightweight network

Frequency domain analysis

Feature fusion

Side-scan sonar object detection via adaptive frequency-domain purification and multi-scale contextual fusion

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