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적조, 유출유 그리고 조난자 이미지 분류를 통한 지도기반 시뮬레이션 프로그램 개발
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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | 김기훈 | - |
| dc.contributor.author | 김선영 | - |
| dc.date.accessioned | 2021-12-08T11:40:50Z | - |
| dc.date.available | 2021-12-08T11:40:50Z | - |
| dc.date.issued | 20170818 | - |
| dc.identifier.uri | https://www.kriso.re.kr/sciwatch/handle/2021.sw.kriso/3400 | - |
| dc.description.abstract | This paper presents the development of a map-based simulation program through classification of specified region using camera images acquired by multiple UAVs and USVs. Machining learning image classification algorithm is trained for redtide, oil spill, drowning victim cases. Google map based simulation program is also developed to describe the classified results on the map. | - |
| dc.language | 영어 | - |
| dc.language.iso | ENG | - |
| dc.title | 적조, 유출유 그리고 조난자 이미지 분류를 통한 지도기반 시뮬레이션 프로그램 개발 | - |
| dc.title.alternative | Development of a map-based simulation program through classification of red tide, oil-spill and drowining victim images | - |
| dc.type | Conference | - |
| dc.citation.title | ACMSSR 2017 | - |
| dc.citation.volume | 1 | - |
| dc.citation.number | 1 | - |
| dc.citation.startPage | 154 | - |
| dc.citation.endPage | 157 | - |
| dc.citation.conferenceName | ACMSSR 2017 | - |
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