Print Email Facebook Twitter Large Region Targets Observation Scheduling by Multiple Satellites Using Resampling Particle Swarm Optimization Title Large Region Targets Observation Scheduling by Multiple Satellites Using Resampling Particle Swarm Optimization Author Gu, Yi (Beihang University) Han, Chao (Beihang University) Chen, Yuhan (China Satellite Network Innovation Company, Ltd.) Liu, Shenggang (Beihang University) Wang, X. (TU Delft Learning & Autonomous Control; Queen Mary University of London) Date 2022 Abstract The last decades have witnessed a rapid increase of Earth observation satellites (EOSs), leading to the increasing complexity of EOSs scheduling. On account of the widespread applications of large region observation, this article aims to address the EOSs observation scheduling problem for large region targets. A rapid coverage calculation method employing a projection reference plane and a polygon clipping technique is first developed. We then formulate a nonlinear integer programming model for the scheduling problem, where the objective function is calculated based on the developed coverage calculation method. A greedy initialization-based resampling particle swarm optimization (GI-RPSO) algorithm is proposed to solve the model. The adopted greedy initialization strategy and particle resampling method contribute to generating efficient and effective solutions during the evolution process. In the end, extensive experiments are conducted to illustrate the effectiveness and reliability of the proposed method. Compared to the traditional PSO and the widely used greedy algorithm, the proposed GI-RPSO can improve the scheduling result by 5.42% and 15.86%, respectively. Subject Large region targetsmultiple satellitesobservation schedulingresampling particle swarm optimization (PSO) To reference this document use: http://resolver.tudelft.nl/uuid:5fc63aa1-ad14-4344-8cae-193eac1928a8 DOI https://doi.org/10.1109/TAES.2022.3205565 Embargo date 2023-03-12 ISSN 0018-9251 Source IEEE Transactions on Aerospace and Electronic Systems, 59 (2), 1800-1815 Bibliographical note Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. Part of collection Institutional Repository Document type journal article Rights © 2022 Yi Gu, Chao Han, Yuhan Chen, Shenggang Liu, X. Wang Files PDF Large_Region_Targets_Obse ... zation.pdf 3.31 MB Close viewer /islandora/object/uuid:5fc63aa1-ad14-4344-8cae-193eac1928a8/datastream/OBJ/view