Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Image collection planning for KOrea Multi-Purpose SATellite-2

Full metadata record
DC Field Value Language
dc.contributor.authorJang, Jinbong-
dc.contributor.authorChoi, Jiwoong-
dc.contributor.authorBae, Hee-Jin-
dc.contributor.authorChoi, In-Chan-
dc.date.accessioned2021-09-05T20:21:47Z-
dc.date.available2021-09-05T20:21:47Z-
dc.date.created2021-06-15-
dc.date.issued2013-10-01-
dc.identifier.issn0377-2217-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/101907-
dc.description.abstractThis paper studies an image collection planning problem for a Korean satellite, KOMPSAT-2 (KOrea Multi-Purpose SATellite-2). KOMPSAT-2 has the mission goal of maximizing image acquisition in time and quality requested by customers and operates under several complicating conditions. One of the characteristics in KOMPSAT-2 is its strip mode operation, in which segments of continuous-observation areas with known sizes are captured one at a time. In this paper, we regard the segment as a group of adjoining geographical square regions (scenes), whose size must also be determined. Thus, the problem involves the determination of proper segment lengths as well as an image collection schedule. We present a binary integer programming model for this problem in a multi-orbit long-term planning environment and provide a heuristic solution approach based on the Lagrangian relaxation and subgradient methods. We also present the results of our computational experiment based on randomly generated data. (C) 2013 Elsevier B.V. All rights reserved.-
dc.languageEnglish-
dc.language.isoen-
dc.publisherELSEVIER SCIENCE BV-
dc.subjectEARTH OBSERVATION SATELLITE-
dc.subjectGENETIC ALGORITHM-
dc.subjectFORMULATION-
dc.subjectSELECTION-
dc.subjectORBIT-
dc.subjectGRAPH-
dc.titleImage collection planning for KOrea Multi-Purpose SATellite-2-
dc.typeArticle-
dc.contributor.affiliatedAuthorChoi, In-Chan-
dc.identifier.doi10.1016/j.ejor.2013.04.009-
dc.identifier.scopusid2-s2.0-84878012649-
dc.identifier.wosid000320211200017-
dc.identifier.bibliographicCitationEUROPEAN JOURNAL OF OPERATIONAL RESEARCH, v.230, no.1, pp.190 - 199-
dc.relation.isPartOfEUROPEAN JOURNAL OF OPERATIONAL RESEARCH-
dc.citation.titleEUROPEAN JOURNAL OF OPERATIONAL RESEARCH-
dc.citation.volume230-
dc.citation.number1-
dc.citation.startPage190-
dc.citation.endPage199-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaBusiness & Economics-
dc.relation.journalResearchAreaOperations Research & Management Science-
dc.relation.journalWebOfScienceCategoryManagement-
dc.relation.journalWebOfScienceCategoryOperations Research & Management Science-
dc.subject.keywordPlusEARTH OBSERVATION SATELLITE-
dc.subject.keywordPlusGENETIC ALGORITHM-
dc.subject.keywordPlusFORMULATION-
dc.subject.keywordPlusSELECTION-
dc.subject.keywordPlusORBIT-
dc.subject.keywordPlusGRAPH-
dc.subject.keywordAuthorImage collection planning problem-
dc.subject.keywordAuthorLarge scale optimization-
dc.subject.keywordAuthorDecomposition-
dc.subject.keywordAuthorLagrangian relaxation-
dc.subject.keywordAuthorSubgradient method-
dc.subject.keywordAuthorScheduling-
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Engineering > School of Industrial and Management Engineering > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher CHOI, In Chan photo

CHOI, In Chan
College of Engineering (School of Industrial and Management Engineering)
Read more

Altmetrics

Total Views & Downloads

BROWSE