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Image collection planning for KOrea Multi-Purpose SATellite-2

Authors
Jang, JinbongChoi, JiwoongBae, Hee-JinChoi, In-Chan
Issue Date
1-Oct-2013
Publisher
ELSEVIER SCIENCE BV
Keywords
Image collection planning problem; Large scale optimization; Decomposition; Lagrangian relaxation; Subgradient method; Scheduling
Citation
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, v.230, no.1, pp.190 - 199
Indexed
SCIE
SCOPUS
Journal Title
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
Volume
230
Number
1
Start Page
190
End Page
199
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/101907
DOI
10.1016/j.ejor.2013.04.009
ISSN
0377-2217
Abstract
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. (C) 2013 Elsevier B.V. All rights reserved.
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