Ray tracing-assisted SAR image simulation including multiple scattering

doi:10.13474/j.cnki.11-2246.2026.0110

Abstract

Abstract: In order to improve the fidelity of distributed target SAR image simulation,we propose a novel ray tracing-assisted SAR image simulation method including multiple scattering.This method utilizes the range Doppler (RD) imaging geometry and ray casting theory to discriminate the radar beam radiation area of distributed targets and simulate the electromagnetic waves transmission.The ray tracing algorithm and the physical illumination model are combined to simulate the multiple scattering of EM waves,and the multiple scattering amplitude and phase are recorded in real time.The raw echo signal of the distributed targets is processed by RD imaging algorithm,then the corresponding SAR simulated image is obtained.We select some typical distributed targets to simulate SAR images,and then compare the simulated results with the real SAR images and the simulated results of the mainstream commercial simulation software to verify the effectiveness of the proposed method.

Key words: SAR image simulation, ray tracing, multiple backscattering, echo simulation

CLC Number:

P237

WU Ke, JIN Guowang, HE Kuan, LIU Hui, KONG Linghui, LI Ning. Ray tracing-assisted SAR image simulation including multiple scattering[J]. Bulletin of Surveying and Mapping, 2026, 0(1): 57-64.

References

[1] HOLTZMAN J,FROST V,ABBOTT J,et al.Radar image simulation[J].IEEE Transactions on Geoscience Electronics,1978,16(4): 296-303.
[2] 靳国旺,徐青,张红敏.合成孔径雷达干涉测量[M].北京:国防工业出版社,2014.
[3] 保铮,邢孟道,王彤.雷达成像技术[M].北京:电子工业出版社,2005.
[4] 谷秀昌,付琨,仇晓兰.SAR图像判读解译基础[M].北京:科学出版社,2017.
[5] AUER S,HINZ S,BAMLER R.Ray tracing for simulating reflection phenomena in SAR images[C]//Proceedings of 2008 IEEE International Geoscience and Remote Sensing Symposium.Boston,MA:IEEE,2008.
[6] AUER S,HINZ S,BAMLER R.Ray-tracing simulation techniques for understanding high-resolution SAR images[J].IEEE Transactions on Geoscience and Remote Sensing,2010,48(3):1445-1456.
[7] AUER S,BAMLER R,REINARTZ P.RaySAR-3D SAR simulator:now open source[C]//Proceedings of 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).Beijing:IEEE,2016:6730-6733.
[8] DUMONT R,GUEDAS C,THOMAS E,et al.DIONISOS:an end-to-end SAR simulator[C]//Proceedings of the 8th European Conference on Synthetic Aperture Radar (EUSAR).[S.l.]:IEEE,2010:677-680.
[9] ALLAN J M,COLLINS M J,GIERULL C.Computational synthetic aperture radar (cSAR):a flexible signal simulator for multichannel SAR systems[J].Canadian Journal of Remote Sensing,2010,36(4):345-360.
[10] BOKADEROV S,MARESCH A,SCHIMPF H,et al.EOSAR,a SAR-scene simulator based upon real target and background signatures[C]//Proceedings of 2012 IEEE International Geoscience and Remote Sensing Symposium.Munich:IEEE,2012:3867-3870.
[11] FRANCESCHETTI G,MIGLIACCIO M,RICCIO D,et al.SARAS:a synthetic aperture radar (SAR) raw signal simulator[J].IEEE Transactions on Geoscience and Remote Sensing,1992,30(1):110-123.
[12] DOUCHIN N,RUIZ C,ISRAEL J,et al.SE-workbench-RF:performant and high-fidelity raw data generation for various radar applications[C]//Proceedings of the 20th International Radar Symposium (IRS).Ulm:IEEE,2019:1-10.
[13] WANG Xiaoqing,CHONG Jinsong,YU Xiangzhen,et al.Estimation bias of ocean current measured by along-track interferometric synthetic aperture radar and its compensation methods[J].International Journal of Remote Sensing,2014,35(11/12):4064-4085.
[14] 王小青,余颖,陈永强,等.海面散射仿真中不同波浪谱和松弛率模型选取的对比研究[J].电子与信息学报,2010,32(2):476-480.
[15] WANG X Q,SUN H Q,CHONG J S..An improved phase correlation method for obtaining dynamic feature of the ocean from sequential SAR sub-aperture images (in English) [J].Journal of Radars,2013,2(1):30-38.
[16] ZHANG Fan,WANG Bingnan,XIANG Maosheng.Accelerating InSAR raw data simulation on GPU using CUDA[C]//Proceedings of 2010 IEEE International Geoscience and Remote Sensing Symposium.Honolulu,HI:IEEE,2010:2932-2935.
[17] 张帆,林殷,洪文.基于网格计算的SAR回波分布式仿真[J].系统仿真学报,2008,20(12):3165-3170.
[18] ZHANG Fan,HU Chen,LI Wei,et al.Accelerating time-domain SAR raw data simulation for large areas using multi-GPUs[J].IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,2014,7(9):3956-3966.
[19] ZHANG Fan,HU Chen,LI Wei,et al.A deep collaborative computing based SAR raw data simulation on multiple CPU/GPU platform[J].IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,2017,10(2):387-399.
[20] ZHANG Fan,YAO Xiaojie,TANG Hanyuan,et al.Multiple mode SAR raw data simulation and parallel acceleration for Gaofen-3 mission[J].IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,2018,11(6):2115-2126.
[21] CHEN Kunshan.Principles of synthetic aperture radar imaging:a system simulation approach[M].Boca Raton:CRC Press,2016
[22] CHEN Kunshan.Radar scattering and imaging of rough surfaces:modeling and applications with MATLAB[M].Boca Raton:CRC Press,2020
[23] CHEN Kunshan,TSANG L,CHEN Kuanliang,et al.Polarimetric simulations of SAR at L-band over bare soil using scattering matrices of random rough surfaces from numerical three-dimensional solutions of Maxwell equations[J].IEEE Transactions on Geoscience and Remote Sensing,2014,52(11):7048-7058.
[24] CHIANG C Y,CHEN Kunshan,YANG Ying,et al.SAR image simulation of complex target including multiple scattering[J].Remote Sensing,2021,13(23):4854.
[25] WU Ke,JIN Guowang,XIONG Xin,et al.SAR image simulation based on effective view and ray tracing[J].Remote Sensing,2022,14(22):5754.
[26] WU Ke,JIN Guowang,XIONG Xin,et al.Fast SAR image simulation based on echo matrix cell algorithm including multiple scattering[J].Remote Sensing,2023,15(14):3637.
[27] WU Ke,JIN Guowang,XIONG Xin,et al.Bounding volume hierarchy-assisted fast SAR image simulation based on spatial segmentation[J].Applied Sciences,2024,14(8):3340.