Vehicle SAR Image Simulation: Progress, Application and Challenge

Authors

• Shengjie Luo, Rocket Force University of Engineering, Xi'an 710000, China
• Zhigang Liu, Rocket Force University of Engineering, Xi'an 710000, China
• Xihai Li, Rocket Force University of Engineering, Xi'an 710000, China
• Yiting Wang, Rocket Force University of Engineering, Xi'an 710000, China
• Xiaoniu Zeng, Rocket Force University of Engineering, Xi'an 710000, China
• Xiaofeng Tan, Rocket Force University of Engineering, Xi'an 710000, China
• Hongru Li, Rocket Force University of Engineering, Xi'an 710000, China
• Tianyou Liu, Rocket Force University of Engineering, Xi'an 710000, China
• Yun Zhang, Rocket Force University of Engineering, Xi'an 710000, China

Abstract

Abstract: SAR image simulation technology can efficiently generate large-scale annotated data by flexibly configuring system parameters and scene conditions, breaking through the inherent limitations of high cost and long acquisition cycles associated with real SAR images, and effectively mitigating the problem of data scarcity. To elaborate on the overall research status of vehicle SAR image simulation, a classification framework for simulation methods is first established based on technical principles and methodological approaches. Subsequently, a comprehensive review of research progress is provided, offering an in-depth analysis of the theoretical foundations, practical applications, and suitable scenarios of various methods. Finally, based on current development trends and technical challenges in the field, potential breakthrough directions for future research are discussed.

Recommended Citation

Luo, Shengjie; Liu, Zhigang; Li, Xihai; Wang, Yiting; Zeng, Xiaoniu; Tan, Xiaofeng; Li, Hongru; Liu, Tianyou; and Zhang, Yun (2026) "Vehicle SAR Image Simulation: Progress, Application and Challenge," Journal of System Simulation: Vol. 38: Iss. 9, Article 7.
DOI: 10.16182/j.issn1004731x.joss.25-1037
Available at: https://dc-china-simulation.researchcommons.org/journal/vol38/iss9/7

First Page

2535

Last Page

2558

CLC

TN955+.2; TP391.9

Recommended Citation

Luo Shengjie, Liu Zhigang, Li Xihai, et al. Vehicle SAR Image Simulation: Progress, Application and Challenge[J]. Journal of System Simulation, 2026, 38(9): 2535-2558.

Corresponding Author

Liu Zhigang

DOI

10.16182/j.issn1004731x.joss.25-1037