SHIP DETECTION AND CLASSIFICATION IN CAS500-1 IMAGES BASED ON YOLO MODEL
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 김태호 | - |
dc.contributor.author | 박영빈 | - |
dc.contributor.author | 장소영 | - |
dc.contributor.author | Yang, Chan Su | - |
dc.date.accessioned | 2023-07-25T01:30:02Z | - |
dc.date.available | 2023-07-25T01:30:02Z | - |
dc.date.created | 2023-07-24 | - |
dc.date.issued | 2023-07-19 | - |
dc.identifier.issn | 0000-0000 | - |
dc.identifier.uri | https://sciwatch.kiost.ac.kr/handle/2020.kiost/44442 | - |
dc.description.abstract | In 2021, compared to the last year, global port container logistic volumes increased by 7% (857 million 20-foot equivalent units (TEU)), while deliveries of newly built container ships increased by 18% (10,929 thousand gross tons) [1]. Hence, the problem instigated by an increased volume of logistics and port congestion can be solved through the efficient operation of the port, and ship detection and volume data processing have become important. Ship monitoring related to port logistics is possible by checking the Auto Identification System (AIS) [2]. | - |
dc.description.uri | 1 | - |
dc.language | English | - |
dc.publisher | IEEE | - |
dc.relation.isPartOf | International Geoscience and Remote Sensing Symposium (IGARSS) | - |
dc.title | SHIP DETECTION AND CLASSIFICATION IN CAS500-1 IMAGES BASED ON YOLO MODEL | - |
dc.type | Conference | - |
dc.citation.conferenceDate | 2023-07-17 | - |
dc.citation.conferencePlace | US | - |
dc.citation.conferencePlace | Pasadena, CA | - |
dc.citation.endPage | 4115 | - |
dc.citation.startPage | 4112 | - |
dc.citation.title | IGARSS 2023 | - |
dc.contributor.alternativeName | 양찬수 | - |
dc.identifier.bibliographicCitation | IGARSS 2023, pp.4112 - 4115 | - |
dc.identifier.scopusid | 2-s2.0-85178382304 | - |
dc.description.journalClass | 1 | - |