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적외선 영상에서의 과분할 영역기반 표적 분류기법

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dc.contributor.author김재협-
dc.contributor.author전갑송-
dc.contributor.author문영식-
dc.date.accessioned2021-06-23T13:05:09Z-
dc.date.available2021-06-23T13:05:09Z-
dc.date.issued2010-06-
dc.identifier.urihttps://scholarworks.bwise.kr/erica/handle/2021.sw.erica/39769-
dc.description.abstractIn this paper, we popose the method of target classification method based on overfitting region in infrared images. As the infrared image, it has no significant features of specific gradient and texture information. So, in generally, it's so hard to segment target object region from original image, and to extract features to using classification. In our proposed method, infrared image is splitted small areas, and then the union of over segmented regions is applied to classify target object.-
dc.format.extent3-
dc.language한국어-
dc.language.isoKOR-
dc.publisher대한전자공학회-
dc.title적외선 영상에서의 과분할 영역기반 표적 분류기법-
dc.title.alternativeTarget Classification Method Based on Over-Segmented Region in IR Images-
dc.typeArticle-
dc.publisher.location대한민국-
dc.identifier.bibliographicCitation대한전자공학회 2010년 하계학술대회, v.33, no.1, pp 1627 - 1629-
dc.citation.title대한전자공학회 2010년 하계학술대회-
dc.citation.volume33-
dc.citation.number1-
dc.citation.startPage1627-
dc.citation.endPage1629-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassother-
dc.identifier.urlhttps://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE01482148-
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