Artificial intelligence is driving the Fourth Industrial Revolution and is in the spotlight as a general-purpose technology. As the data collection from the battlefield increases rapidly, the need to us artificial intelligence is increasing in the military, but it is still in its early stages. In order to identify maritime targets, Republic of Korea navy acquires images by ISAR(Inverse Synthetic Aperture Radar) of maritime patrol aircraft, and humans make out them. The radar image is displayed by synthesizing signals reflected from the target after radiating radar waves. In addition, day/night and all-weather observations are possible. In this study, an artificial intelligence is used to identify maritime targets based on radar images. Data of radar images of 24 maritime targets in Republic of Korea and North Korea acquired by ISAR were pre-processed, and an artificial intelligence algorithm( ResNet-50) was applied. The accuracy of maritime targets identification showed about 99%. Out of the 81 warship types, 75 types took less than 5 seconds, and 6 types took 15 to 163 seconds.

1. 서 론
2. ISAR 영상 고찰
3. 인공지능 적용
    3.1 데이터 수집 및 전처리
    3.2 데이터 입력조건 설정
    3.3 알고리즘
4. 해상표적 식별능력 분석
    4.1 학습 조건 및 알고리즘 성능
    4.2 해상표적 식별능력
5. 결 론
References

• Kitae Kim(해군전력분석시험평가단 체계분석처) | 김기태 Corresponding Author
• Yojoon Lim(강남대학교 교양학부) | 임요준