Development of an optimization model for image collection planning

Jinbong Jang, Jiwoong Choi, In Chan Choi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Customer service requests for satellite-based image collection rapidly grow in Korea as the number of available satellites increases. The customer requests must meet their due dates under several complicating conditions, such as memory capacity limits, weather conditions, role tilts and segment conflict resolutions. In this paper, we address this problem by presenting a mixed-integer program model and propose an investigative solution approach that handles millions of segment conflict resolution constraints. The proposed approach would reduce the model size to improve its solvability by utilizing a new redundancy checking pre-processing technique.

Original languageEnglish
Title of host publicationICORES 2012 - Proceedings of the 1st International Conference on Operations Research and Enterprise Systems
Pages171-174
Number of pages4
Publication statusPublished - 2012 Jun 13
Event1st International Conference on Operations Research and Enterprise Systems, ICORES 2012 - Vilamoura, Algarve, Portugal
Duration: 2012 Feb 42012 Feb 6

Other

Other1st International Conference on Operations Research and Enterprise Systems, ICORES 2012
CountryPortugal
CityVilamoura, Algarve
Period12/2/412/2/6

Fingerprint

Planning
Conflict resolution
Optimization model
Korea
Customer service
Redundancy
Solvability
Weather
Due dates
Mixed integer program

Keywords

  • Optimization
  • Satellite image collection planning
  • Scheduling

ASJC Scopus subject areas

  • Management Science and Operations Research

Cite this

Jang, J., Choi, J., & Choi, I. C. (2012). Development of an optimization model for image collection planning. In ICORES 2012 - Proceedings of the 1st International Conference on Operations Research and Enterprise Systems (pp. 171-174)

Development of an optimization model for image collection planning. / Jang, Jinbong; Choi, Jiwoong; Choi, In Chan.

ICORES 2012 - Proceedings of the 1st International Conference on Operations Research and Enterprise Systems. 2012. p. 171-174.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Jang, J, Choi, J & Choi, IC 2012, Development of an optimization model for image collection planning. in ICORES 2012 - Proceedings of the 1st International Conference on Operations Research and Enterprise Systems. pp. 171-174, 1st International Conference on Operations Research and Enterprise Systems, ICORES 2012, Vilamoura, Algarve, Portugal, 12/2/4.
Jang J, Choi J, Choi IC. Development of an optimization model for image collection planning. In ICORES 2012 - Proceedings of the 1st International Conference on Operations Research and Enterprise Systems. 2012. p. 171-174
Jang, Jinbong ; Choi, Jiwoong ; Choi, In Chan. / Development of an optimization model for image collection planning. ICORES 2012 - Proceedings of the 1st International Conference on Operations Research and Enterprise Systems. 2012. pp. 171-174
@inproceedings{fd356118019f4211962aa90cc48f585f,
title = "Development of an optimization model for image collection planning",
abstract = "Customer service requests for satellite-based image collection rapidly grow in Korea as the number of available satellites increases. The customer requests must meet their due dates under several complicating conditions, such as memory capacity limits, weather conditions, role tilts and segment conflict resolutions. In this paper, we address this problem by presenting a mixed-integer program model and propose an investigative solution approach that handles millions of segment conflict resolution constraints. The proposed approach would reduce the model size to improve its solvability by utilizing a new redundancy checking pre-processing technique.",
keywords = "Optimization, Satellite image collection planning, Scheduling",
author = "Jinbong Jang and Jiwoong Choi and Choi, {In Chan}",
year = "2012",
month = "6",
day = "13",
language = "English",
isbn = "9789898425973",
pages = "171--174",
booktitle = "ICORES 2012 - Proceedings of the 1st International Conference on Operations Research and Enterprise Systems",

}

TY - GEN

T1 - Development of an optimization model for image collection planning

AU - Jang, Jinbong

AU - Choi, Jiwoong

AU - Choi, In Chan

PY - 2012/6/13

Y1 - 2012/6/13

N2 - Customer service requests for satellite-based image collection rapidly grow in Korea as the number of available satellites increases. The customer requests must meet their due dates under several complicating conditions, such as memory capacity limits, weather conditions, role tilts and segment conflict resolutions. In this paper, we address this problem by presenting a mixed-integer program model and propose an investigative solution approach that handles millions of segment conflict resolution constraints. The proposed approach would reduce the model size to improve its solvability by utilizing a new redundancy checking pre-processing technique.

AB - Customer service requests for satellite-based image collection rapidly grow in Korea as the number of available satellites increases. The customer requests must meet their due dates under several complicating conditions, such as memory capacity limits, weather conditions, role tilts and segment conflict resolutions. In this paper, we address this problem by presenting a mixed-integer program model and propose an investigative solution approach that handles millions of segment conflict resolution constraints. The proposed approach would reduce the model size to improve its solvability by utilizing a new redundancy checking pre-processing technique.

KW - Optimization

KW - Satellite image collection planning

KW - Scheduling

UR - http://www.scopus.com/inward/record.url?scp=84861995533&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84861995533&partnerID=8YFLogxK

M3 - Conference contribution

SN - 9789898425973

SP - 171

EP - 174

BT - ICORES 2012 - Proceedings of the 1st International Conference on Operations Research and Enterprise Systems

ER -