Proceedings of the 2017 7th International Conference on Applied Science, Engineering and Technology (ICASET 2017)

Research on the Simulation of SAR Image Based on Creator and Vega

Authors
Liang Zhao, You-hui Zhang
Corresponding Author
Liang Zhao
Available Online May 2017.
DOI
10.2991/icaset-17.2017.27How to use a DOI?
Keywords
Virtual Reality, SAR, RadarWorks,Vega
Abstract

In this study, a real-time image simulator system of Synthetic Aperture Radar(SAR) was designed based on software platform of Visual C++, Multigen Creator, and Vega, in the background of Virtual Reality. The principle of SAR image was introduced, the process and key technologies of designing Radar image simulation system based on Virtual Reality were discussed, and the simulation results was given at the end of the paper. The simulation results show that this system can simulate various parameters SAR image efficiently, and has an assisted function to the evaluation of simulation of Radar system.

Copyright
© 2017, 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/).

Download article (PDF)

Volume Title
Proceedings of the 2017 7th International Conference on Applied Science, Engineering and Technology (ICASET 2017)
Series
Advances in Engineering Research
Publication Date
May 2017
ISBN
978-94-6252-340-1
ISSN
2352-5401
DOI
10.2991/icaset-17.2017.27How to use a DOI?
Copyright
© 2017, 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  - Liang Zhao
AU  - You-hui Zhang
PY  - 2017/05
DA  - 2017/05
TI  - Research on the Simulation of SAR Image Based on Creator and Vega
BT  - Proceedings of the 2017 7th International Conference on Applied Science, Engineering and Technology (ICASET 2017)
PB  - Atlantis Press
SP  - 143
EP  - 147
SN  - 2352-5401
UR  - https://doi.org/10.2991/icaset-17.2017.27
DO  - 10.2991/icaset-17.2017.27
ID  - Zhao2017/05
ER  -