Abstract—

The problem of protecting the harborage and other important marine facilities is topical. For this purpose, unmanned underwater vehicles are widely used due to their ability to operate under severe climatic conditions and special loads. Methods for optimizing and identifying optical images in the problems of object recognition by unmanned underwater vehicles are examined. A method for compensating the input image signal is proposed for optimal identification with the communication circuits, thereby making it possible to resist external digital attacks.

中文翻译：

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水下机器人识别问题中目标的最优识别

摘要-

保护港口和其他重要海洋设施的问题是当务之急。为此，无人水下航行器由于其在恶劣的气候条件和特殊负载下的操作能力而被广泛使用。研究了在无人水下航行器识别物体问题中优化和识别光学图像的方法。提出了一种用于补偿输入图像信号的方法，以便与通信电路进行最佳识别，从而可以抵抗外部数字攻击。