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Conference Paper A Study on the Composition of Image-Based Ship-type/class Identification System
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Authors
Jiwon Lee, Do-Won Nam, JungSoo Lee, Sungwon Moon, Arum Oh, WonYoung Yoo
Issue Date
2020-02
Citation
International Conference on Advanced Communications Technology (ICACT) 2020, pp.203-206
Publisher
IEEE
Language
English
Type
Conference Paper
DOI
https://dx.doi.org/10.23919/ICACT48636.2020.9061395
Abstract
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.
KSP Keywords
Detailed method, High-value, Identification system, Identification technique, Image-based, Location information, Structural Analysis, System Construction, Traffic control, control center