A Study on the Composition of Image-Based Ship-type/class Identification System

2020 22nd International Conference on Advanced Communication Technology (ICACT)(2020)

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摘要
Ships, coastal posts, and control centers need to verify the information, location, and speed of nearby vessels for various purposes, such as traffic control or maritime warfare. In the field of defense where accurate information on nearby ships is important, radar is used to acquire location information on nearby ships. However, the selection of the opponent's position as well as the high-value units must be more important and prioritized, and image-based warship type/class identification techniques are required in naval warfare. This paper presents a detailed method for system construction that supports detailed identification of warship type/class through structural analysis. Through the development of the proposed system, reliable warship identification can be used for tactical applications in the defense field, thereby contributing to the enhancement of defense capabilities.
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关键词
Ship classification,Warship identification,Structural analysis,Deep learning,Pattern matching
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