Proceedings of the 2018 International Conference on Mathematics, Modelling, Simulation and Algorithms (MMSA 2018)

Modeling and Evaluation for Effectiveness of Remote Sensing Satellite Based on ADC Model

Authors
Xinlin De, Jian Jiao, Yipeng Zhu
Corresponding Author
Xinlin De
Available Online March 2018.
DOI
10.2991/mmsa-18.2018.19How to use a DOI?
Keywords
remote sensing satellite; effectiveness; ADC; mission
Abstract

With the development of space technology, remote sensing satellite is playing an increasingly important role in many fields. An effectiveness model of remote sensing satellite was proposed based on ADC model to provide a scientific basis for the design, development and actual use of remote sensing satellite. The possible states of the satellite are provided by analyzing the main mission and structure of the satellite. The state transition probabilities are calculated by continuous Markov chain with discrete states continuous time. Finally, a satellite effectiveness evaluation model is established based on ADC model. A case study is proposed to demonstrate the validity of the model.

Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2018 International Conference on Mathematics, Modelling, Simulation and Algorithms (MMSA 2018)
Series
Advances in Intelligent Systems Research
Publication Date
March 2018
ISBN
10.2991/mmsa-18.2018.19
ISSN
1951-6851
DOI
10.2991/mmsa-18.2018.19How to use a DOI?
Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Xinlin De
AU  - Jian Jiao
AU  - Yipeng Zhu
PY  - 2018/03
DA  - 2018/03
TI  - Modeling and Evaluation for Effectiveness of Remote Sensing Satellite Based on ADC Model
BT  - Proceedings of the 2018 International Conference on Mathematics, Modelling, Simulation and Algorithms (MMSA 2018)
PB  - Atlantis Press
SP  - 83
EP  - 88
SN  - 1951-6851
UR  - https://doi.org/10.2991/mmsa-18.2018.19
DO  - 10.2991/mmsa-18.2018.19
ID  - De2018/03
ER  -