Image collection planning for KOrea Multi-Purpose SATellite-2

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

Research output: Contribution to journalArticle

12 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)190-199
Number of pages10
JournalEuropean Journal of Operational Research
Volume230
Issue number1
DOIs
Publication statusPublished - 2013 Oct 1

Fingerprint

Planning
Satellites
Subgradient Method
Lagrangian Method
Lagrangian Relaxation
Image Acquisition
Relaxation Method
Image acquisition
Integer programming
Integer Programming
Computational Experiments
Programming Model
Strip
Schedule
Orbits
Customers
Orbit
Heuristics
Binary
Korea

Keywords

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

ASJC Scopus subject areas

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

Cite this

Image collection planning for KOrea Multi-Purpose SATellite-2. / Jang, Jinbong; Choi, Jiwoong; Bae, Hee Jin; Choi, In Chan.

In: European Journal of Operational Research, Vol. 230, No. 1, 01.10.2013, p. 190-199.

Research output: Contribution to journalArticle

Jang, Jinbong ; Choi, Jiwoong ; Bae, Hee Jin ; Choi, In Chan. / Image collection planning for KOrea Multi-Purpose SATellite-2. In: European Journal of Operational Research. 2013 ; Vol. 230, No. 1. pp. 190-199.
@article{87105d9540bc4b3ca2865880ecc37849,
title = "Image collection planning for KOrea Multi-Purpose SATellite-2",
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.",
keywords = "Decomposition, Image collection planning problem, Lagrangian relaxation, Large scale optimization, Subgradient method Scheduling",
author = "Jinbong Jang and Jiwoong Choi and Bae, {Hee Jin} and Choi, {In Chan}",
year = "2013",
month = "10",
day = "1",
doi = "10.1016/j.ejor.2013.04.009",
language = "English",
volume = "230",
pages = "190--199",
journal = "European Journal of Operational Research",
issn = "0377-2217",
publisher = "Elsevier",
number = "1",

}

TY - JOUR

T1 - Image collection planning for KOrea Multi-Purpose SATellite-2

AU - Jang, Jinbong

AU - Choi, Jiwoong

AU - Bae, Hee Jin

AU - Choi, In Chan

PY - 2013/10/1

Y1 - 2013/10/1

N2 - 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.

AB - 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.

KW - Decomposition

KW - Image collection planning problem

KW - Lagrangian relaxation

KW - Large scale optimization

KW - Subgradient method Scheduling

UR - http://www.scopus.com/inward/record.url?scp=84878012649&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84878012649&partnerID=8YFLogxK

U2 - 10.1016/j.ejor.2013.04.009

DO - 10.1016/j.ejor.2013.04.009

M3 - Article

AN - SCOPUS:84878012649

VL - 230

SP - 190

EP - 199

JO - European Journal of Operational Research

JF - European Journal of Operational Research

SN - 0377-2217

IS - 1

ER -