SAR Microwave Vision 3D    2024 No.1

Guest Editor: Qiu Xiaolan

This dataset is version 3.0 of the SAR microwave vision 3D imaging dataset (SARMV3D-3.0). The data set consists of three subsets: 1) Small UAV-borne full-polarization array-InSAR data subset; 2) Electromagnetic scattering data subset for typical scattering mechanisms; 3) Airborne array-InSAR data subset for typical targets.

The first subset consists of the UAV-borne full-polarization array-InSAR data of a building taken from 8 different directions, captured by the microwave vision three-dimensional SAR system (MV3DSAR) in Suzhou in October 2022. It also contains laser point cloud data and optical oblique photography data acquired in the same period. This subset can be used in the study of SAR 3D imaging based on microwave vision.

The second subset contains the UAV-borne full-polarization array-InSAR data captured by the MV3DSAR taken from one direction in Suzhou in October 2022. We placed SLICY modified models, ship models and airplane models in the experiment site. These three models are composed of dihedral angle, sphere, trihedral angle, paraboloid, cylinder, and other scatterers. It can be used for the study of electromagnetic scattering mechanism.

The third subset contains 14-channel airborne array In-SAR data of cars, ships and oil tanks. This subset can be used in the research of SAR 3D imaging based on microwave vision.

    For details of parameters of MV3DSAR, please refer to SARThe introduction of SAR Microwave Vision 3D Imaging Dataset-3.0-Manual.pdf.


The current data reference format is as follows:

[1] QIU Xiaolan, LUO Yitong, CHENG Yao, LIN Bei, YANG Hong, SAR Microwave Vision 3D imaging Dataset 3.0[OL]. Journal of Radars, 2024. https://radars.ac.cn/web/data/getData?newsColumnId=2f2748db-10ef-4ad0-bcc4-f087ce59b6f8&pageType=en

[2] QIU Xiaolan, JIAO Zekun, YANG Zhenli, et al. Key technology and preliminary progress of microwave vision 3D SAR experimental system[J]. Journal of Radars, 2022, 11(1): 1–19. doi: 10.12000/JR22027

[3] QIU Xiaolan, JIAO Zekun, PENG Lingxiao, et al. SARMV3D-1.0: Synthetic Aperture Radar Microwave Vision 3D Imaging Dataset[J]. Journal of Radars, 2021, 10(4): 485–498. doi:  10.12000/JR21112


Release date: May 10, 2024

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Data Usage Protocol of Journal of Radars

The data can be used free of charge for scientific research, teaching and so on, but the data source should be marked in the reference according to the citation format.

Data use for commercial purposes requires permission from the Editorial Department of Journal of Radars.