Image collection planning for KOrea Multi-Purpose SATellite-2

Jinbong Jang, Jiwoong Choi, Hee Jin Bae, In Chan Choi

Research output: Contribution to journalArticlepeer-review

22 Citations (Scopus)


This 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.

Original languageEnglish
Pages (from-to)190-199
Number of pages10
JournalEuropean Journal of Operational Research
Issue number1
Publication statusPublished - 2013 Oct 1

Bibliographical note

Funding Information:
This works was supported by 2010 technology royalties program (Technical Development of Optimized Image Collection Planning for Multi-Satellite) of The Ministry of Education, Science and Technology in Korea.


  • Decomposition
  • Image collection planning problem
  • Lagrangian relaxation
  • Large scale optimization
  • Subgradient method Scheduling

ASJC Scopus subject areas

  • General Computer Science
  • Modelling and Simulation
  • Management Science and Operations Research
  • Information Systems and Management


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