Research on intelligent task planning technology based on multi-satellite and multi-payload

Chaoran Zhuang; Xiaojin Shi; Weishi Wang; Chengyuan Qian; Jingqiao Wang

doi:10.1117/12.3039420

4 September 2024 Research on intelligent task planning technology based on multi-satellite and multi-payload

Chaoran Zhuang, Xiaojin Shi, Weishi Wang, Chengyuan Qian, Jingqiao Wang

Author Affiliations +

Proceedings Volume 13259, International Conference on Automation Control, Algorithm, and Intelligent Bionics (ACAIB 2024); 132591I (2024) https://doi.org/10.1117/12.3039420
Event: Fourth International Conference on Automation Control, Algorithm, and Intelligent Bionics (ICAIB 2024), 2024, Yinchuan, China

Abstract

The number of remote sensing satellites is increasing, and the types and number of payload are also increasing. User demand is also increasing, and satellite resources are still relatively tight. To study how to coordinate the joint observation of multiple satellites and multiple payloads, give full play to the overall observation benefits of remote sensing satellite resources, and meet the increasingly complex task requirements of various users, all available resources must be integrated. Realize the overall management of remote sensing satellite resources and task collaborative planning, and improve the ability of data acquisition and support through the effective integration of various resources. Research on intelligent task planning technology based on multi satellite and multi load. Through the research and construction of satellite and ground resource models, and standardized requirements and task models, the constraints of intelligent satellite task planning are realized, and the optimal scheduling under conventional planning is realized. Research and build the multi-objective optimization planning model of resource observation to improve the intelligence of task planning algorithm. Scientifically arrange satellite imaging and give full play to the efficiency of satellite use.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Chaoran Zhuang, Xiaojin Shi, Weishi Wang, Chengyuan Qian, and Jingqiao Wang "Research on intelligent task planning technology based on multi-satellite and multi-payload", Proc. SPIE 13259, International Conference on Automation Control, Algorithm, and Intelligent Bionics (ACAIB 2024), 132591I (4 September 2024); https://doi.org/10.1117/12.3039420

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KEYWORDS

Satellites

Remote sensing

Satellite imaging

Earth observing sensors

Data acquisition

Detection and tracking algorithms

Environmental monitoring

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