A context-adaptive fusion of shadow and highlight classifiers reports 96.75% accuracy on a real sonar image set, alongside a new synthetic naval-mine dataset with physics-informed noise.
S3simulator: A benchmarking side scan sonar simulator dataset for un- derwater image analysis,
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A Novel Context-Adaptive Fusion of Shadow and Highlight Regions for Efficient Sonar Image Classification
A context-adaptive fusion of shadow and highlight classifiers reports 96.75% accuracy on a real sonar image set, alongside a new synthetic naval-mine dataset with physics-informed noise.