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NTIS 바로가기韓國軍事科學技術學會誌 = Journal of the KIMST, v.27 no.3, 2024년, pp.319 - 328
도재준 (한국항공대학교 인공지능학과) , 유민정 (한국항공대학교 인공지능학과) , 이재석 (한화시스템(주) 레이다연구소) , 문효이 (한화시스템(주) 레이다연구소) , 김선옥 (한국항공대학교 인공지능학과)
Semi-supervised learning is a good way to train a classification model using a small number of labeled and large number of unlabeled data. We applied semi-supervised learning to a synthetic aperture radar(SAR) image classification model with a limited number of datasets that are difficult to create....
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