@inproceedings{25557205a65a4979ad9c46807e599c5e,
title = "Agile Satellite Mission Planning for Moving Targets Observation Based on Modified Genetic Algorithm",
abstract = "This paper predicts the location of moving targets and proposes a mission planning method for multiple Agile Earth Observation Satellites (AEOSs) based on modified genetic algorithm. Firstly, the task areas are gridded, and the location of moving targets are predicted through the combination of Bayesian inference and the target transition probability matrix. A multisatellite mission planning model is established by considering the active push-broom imaging characteristics of AEOS. Then, an objective function considering the observation profit and attitude maneuver cost is designed, and the observation sequence is solved by a modified genetic algorithm. Meanwhile, a conflict resolution algorithm based on observation frequency and observation time window dispersion is proposed. Finally, the experimental results are provided to verify the effectiveness of the proposed method.",
keywords = "Agile earth observation satellite, Mission planning, Modified genetic algorithm, Moving target",
author = "Maochen Qi and Wenting Guo and Zhengyang Liu and Yanning Guo",
note = "Publisher Copyright: {\textcopyright} 2025 Technical Committee on Control Theory, Chinese Association of Automation.; 44th Chinese Control Conference, CCC 2025 ; Conference date: 28-07-2025 Through 30-07-2025",
year = "2025",
doi = "10.23919/CCC64809.2025.11178330",
language = "英语",
series = "Chinese Control Conference, CCC",
publisher = "IEEE Computer Society",
pages = "2001--2006",
editor = "Jian Sun and Hongpeng Yin",
booktitle = "Proceedings of the 44th Chinese Control Conference, CCC 2025",
address = "美国",
}