Acta Geodaetica et Cartographica Sinica ›› 2024, Vol. 53 ›› Issue (4): 599-609.doi: 10.11947/j.AGCS.2024.20230357

• Real-time Remote Sensing Mapping • Previous Articles     Next Articles

On-orbit processing technology and verification of Luojia-3 01 satellite

Mi WANG1(), Beibei GUO1(), Yingdong PI1, Zhiqi ZHANG2, Jing XIAO3, Rongfan DAI1, Shao XIANG1   

  1. 1.State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China
    2.School of Computer Science, Hubei University of Technology, Wuhan 430068, China
    3.School of Computer Science, Wuhan University, Wuhan 430072, China
  • Received:2023-09-04 Revised:2024-02-18 Published:2024-05-13
  • Contact: Beibei GUO E-mail:wangmi@whu.edu.cn;gbb_whu@whu.edu.cn
  • About author:WANG Mi (1974—), male, PhD, professor, PhD supervisor, majors in high-resolution optical satellite imagery data processing and intelligent service. E-mail: wangmi@whu.edu.cn
  • Supported by:
    The National Key Research and Development Program of China(2022YFB3902804);The National Natural Science Foundation of China(42192583)

Abstract:

The on-orbit processing technology of remote sensing satellites stands as a pivotal component driving the achievement of real-time intelligent services in remote sensing technology. In response to the challenges posed by limited on-orbit resources and the growing demands for real-time data processing and information extraction, this paper initially establishes a task-driven framework for on-orbit processing of satellite remote sensing data. The framework places mission requirements at the core and collaborates with space and ground-based resources to establish a comprehensive on-orbit processing system centered around regions of interest (ROIs). In addition, this paper addresses the diverse needs of different task levels and application scenarios by presenting on-orbit processing modes; the basic model driven by location information and the intelligent modes driven by target or scene content and change events. Finally, this paper delves into the critical algorithms necessary for adapting to the resource-constrained on-board environment. Using the on-orbit processing applications (APPs) on the Luojia-3 01 satellite, the performance of these algorithms was verified. Under the framework of task-driven processing and satellite-ground coordination, the Luojia-3 01 satellite successfully achieved high-precision on-orbit geo-positioning, rapid generation of multi-type image products, real-time extraction of information from both static and dynamic targets, and high-rate, near real-time compression of static and dynamic images. The on-orbit processing significantly enhances the efficiency of traditional ground-based processing and effectively supports subsequent real-time intelligent services in satellite remote sensing.

Key words: on-orbit processing, mission-driven, satellite-ground collaboration, real-time intelligent service, Luojia-3 01 satellite

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