While underwater environments offer a wealth of information, capturing clear visual data poses significant challenges. The severe attenuation of light underwater, coupled with the high computational complexity and weak robustness of traditional vision processing methods, creates a bottleneck for accurate real-time recognition, tracking, and localization of underwater visual targets. This significantly hinders the application and development of underwater optical vision detection technology, ultimately limiting the achievable level of intelligence in Unmanned Underwater Vehicles (UUVs).

Underwater Vision Challenges: Overcoming Attenuation and Enhancing Real-Time Target Recognition

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