Zixin Wang, James Hopgood, Mike Davies · 2026 · arXiv
DOI: 10.48550/arXiv.2610.31490 · open-access PDF
Multibeam 影像声纳生成强度图像,由一致的闪光和系统诱导的模糊降级,而清洁的反射目标很少可用。现有的反射方法通常依赖于简化强度域噪音模型,合成清洁目标或盲点自我监督,并且通常不会共同模拟脱光和脱光抑制。我们建议一个物理一致的自我监督框架,用于合并脱光和脱光多光影像声纳。
Machine translation (Meta M2M100); the English original follows.
Multibeam imaging sonar produces intensity images degraded by coherent speckle and system-induced blur, while clean reflectivity targets are rarely available. Existing despeckling methods often rely on simplified intensity-domain noise models, synthetic clean targets, or blind-spot self-supervision, and typically do not jointly model deblurring and speckle suppression. We propose a physics-consistent self-supervised framework for joint despeckling and deblurring of multibeam imaging sonar. A stochastic coherent image-formation model yields a conditional-mean forward operator that relates laten
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