DocumentCode :
447537
Title :
Satellite imaging order scheduling with stochastic weather condition forecast
Author :
Liao, Da-Yin ; Yang, Yu-Tsung
Author_Institution :
Dept. of Inf. Manage., Nat. Chi-Nan Univ., Nantou, Taiwan
Volume :
3
fYear :
2005
fDate :
10-12 Oct. 2005
Firstpage :
2524
Abstract :
This paper deals with the imaging order scheduling problems of FORMOSA-2, a low-earth-orbit, remote-sensing satellite which takes images of ocean and landmass in the vicinity of Taiwan according to customers´ requests. The satellite imaging order scheduling considers current and future weather conditions to provide an imaging plan to satisfy customer requirements with quality imaging pictures. We first formulate the problem into a stochastic integer programming problem and adopt the rolling horizon approach to solve for this problem. A nominal plan is generated according to the predetermined or forecast conditions. This nominal plan is subject to be adjusted with the updated information updated during its execution. The Lagrangian relaxation technique is used to solve for the nominal imaging plan. Numerical results indicate that this approach is effective to generate near-optimal order plans.
Keywords :
artificial satellites; integer programming; remote sensing; scheduling; stochastic programming; weather forecasting; Lagrangian relaxation technique; nominal imaging plan; quality imaging picture; remote-sensing; rolling horizon approach; satellite imaging order scheduling; stochastic integer programming; stochastic weather condition forecast; Dynamic programming; Information management; Lagrangian functions; Linear programming; Oceans; Remote monitoring; Remote sensing; Satellites; Stochastic processes; Weather forecasting; Lagrangian relaxation; rolling horizon; satellite order scheduling; stochastic integer programming;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man and Cybernetics, 2005 IEEE International Conference on
Print_ISBN :
0-7803-9298-1
Type :
conf
DOI :
10.1109/ICSMC.2005.1571528
Filename :
1571528
Link To Document :
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