Automatic Detection Approach of Ship using RADARSAT-1 Synthetic Aperture Radar KCI OTHER

DC Field Value Language
dc.contributor.author 양찬수 -
dc.date.accessioned 2020-04-19T23:42:06Z -
dc.date.available 2020-04-19T23:42:06Z -
dc.date.created 2020-01-28 -
dc.date.issued 2008-06 -
dc.identifier.issn 1229-3431 -
dc.identifier.uri https://sciwatch.kiost.ac.kr/handle/2020.kiost/1892 -
dc.description.abstract Ship detection from satellite remote sensing is a crucial application for global monitoring for the purpose of protecting the marine environment and ensuring marine security. It permits to monitor sea traffic including fisheries, and to associate ships with oil discharge. An automatic ship detection approach for RADARSAT Fine Synthetic Aperture Radar (SAR) image is described and assessed using in situ ship validation information collected during field experiments conducted on August 6, 2004. Ship detection algorithms developed here consist of five stages: calibration, land masking, prescreening, point positioning, and discrimination. The fine image was acquired of Ulsan Port, located in southeast Korea, and during the acquisition, wind speeds between 0 m/s and 0.4 m/s were reported. The detection approach is applied to anchoring ships in the anchorage area of the port and its results are compared with validation data based on Vessel Traffic Service (VTS) radar. Our analysis for anchoring ships, above 68 m in length (LOA), indicates a 100% ship detection rate for the RADARSAT single beam mode. It is shown that the ship detection performance of SAR for smaller ships like barge could be higher than the land-based radar. The proposed method is also applied to estimate the ship's dimensions of length and breadth from SAR radar cross section(RCS), but those values were comparatively higher than the actual sizes because of layover and shadow effects of SAR. 인공위성 원격탐사를 이용한 선박탐지는 주요 적용 분야 중 하나로, 광역의 환경 감시와 해상보안에 적용되고 있다. 이를 통하여 어장을 포함한 해상교통을 모니터링할 수 있으며, 기름유출 선박을 찾기도 한다. 본 연구에서는, RADARSAT의 합성개구레이더(SAR) 영상을 기반으로 개발한 자동선박탐지기법을 제시하고, 2004년 8월 6일에 얻어진 영상에 적용을 하여 현장 자료와의 비교를 실시하였다. 선박탐지알고리듬은 보정, 랜드마스킹, 필터링, 위치 등록 그리고 식별의 5단계로 구성된다. 울산항을 중심으로 이루어진 위성 촬영시점의 풍속은 최대 0.4m/s이었다. 전장이 68 m 이상인 묘박지의 선박을 중심으로 한 선박 탐지 결과는 울산 항만교통정보시스템의 레이더정보와 잘 일치하였다. 바지선과 같은 소형 선박의 경우, SAR에 의한 선박 탐지 능력이 육상에 설치된 레이더보다 더 높은 경우도 있었다. 또한, SAR 레이더 산란 단면적(RCS)을 이용하여 선박의 길이와 폭을 계산하였으나, 레이오버와 그림자 효과 때문에 실제 값보다 비교적 높게 추정되었다. -
dc.description.uri 3 -
dc.language English -
dc.publisher 해양환경안전학회 -
dc.title Automatic Detection Approach of Ship using RADARSAT-1 Synthetic Aperture Radar -
dc.type Article -
dc.citation.endPage 168 -
dc.citation.startPage 163 -
dc.citation.title 해양환경안전학회지 -
dc.citation.volume 14 -
dc.citation.number 2 -
dc.contributor.alternativeName 양찬수 -
dc.identifier.bibliographicCitation 해양환경안전학회지, v.14, no.2, pp.163 - 168 -
dc.identifier.kciid ART001256943 -
dc.description.journalClass 3 -
dc.description.isOpenAccess N -
dc.subject.keywordAuthor Synthetic Aperture Radar (SAR) -
dc.subject.keywordAuthor Ship detection -
dc.subject.keywordAuthor VTS -
dc.subject.keywordAuthor Automatic detection approach -
dc.subject.keywordAuthor RCS -
dc.subject.keywordAuthor RADARSAT -
dc.subject.keywordAuthor 합성개구레이더(SAR) -
dc.subject.keywordAuthor 선박탐지 -
dc.subject.keywordAuthor VTS -
dc.subject.keywordAuthor 자동탐지기법 -
dc.subject.keywordAuthor RCS -
dc.subject.keywordAuthor RADARSAT -
dc.subject.keywordAuthor Synthetic Aperture Radar (SAR) -
dc.subject.keywordAuthor Ship detection -
dc.subject.keywordAuthor VTS -
dc.subject.keywordAuthor Automatic detection approach -
dc.subject.keywordAuthor RCS -
dc.subject.keywordAuthor RADARSAT -
dc.description.journalRegisteredClass kci -
dc.description.journalRegisteredClass other -
Appears in Collections:
Sea Power Enhancement Research Division > Marine Domain & Security Research Department > 1. Journal Articles
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