Journal of System Simulation
Abstract
Abstract: Spaceborne, near-spaceborne, and airborne integrated collaborative remote sensing system (SNA-ICRSS) makes comprehensive use of modern information technology to aggregate multiple and heterogeneous data in spaceborne, near-spaceborne, and airborne domains, so as to realize accurate emergency service and command decision-making. SNA-ICRSS is huge and complex, and there is a lack of research on its architecture modeling and simulation. According to the architecture characteristics of the SNA-ICRSS, the minimum prototype of the SNA-ICRSS is constructed; through the department of defense architecture framework (DoDAF) and activity based methodology (ABM) methods, the minimal prototype of the SNA-ICRSS is modeled, and the operational resource flow, information interaction mode, functional structure division, and system interface representation of the SNA-ICRSS are analyzed. In addition, the specific application of the SNA-ICRSS under emergency information support mode and conventional remote sensing observation mode is discussed. The verification test results show that the model is reasonably constructed and can lay a foundation for integrated simulation and efficiency evaluation of the SNA-ICRSS. In addition, the model can provide a reference for the research and optimization design of the SNA-ICRSS.
Recommended Citation
An, Lili; Xia, Tian; Yang, Wenbin; and Wu, Xinbo
(2023)
"Modeling and Simulation of Spaceborne, Near-Spaceborne, and Airborne Integrated Collaborative Remote Sensing System Based on DoDAF,"
Journal of System Simulation: Vol. 35:
Iss.
5, Article 3.
DOI: 10.16182/j.issn1004731x.joss.21-1341
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol35/iss5/3
First Page
936
Revised Date
2022-01-24
DOI Link
https://doi.org/10.16182/j.issn1004731x.joss.21-1341
Last Page
948
CLC
N945.12
Recommended Citation
Lili An, Tian Xia, Wenbin Yang, Xinbo Wu. Modeling and Simulation of Spaceborne, Near-Spaceborne, and Airborne Integrated Collaborative Remote Sensing System Based on DoDAF[J]. Journal of System Simulation, 2023, 35(5): 936-948.
DOI
10.16182/j.issn1004731x.joss.21-1341
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