DOI: 10.57760/sciencedb.19164
title: 3DSARBuSim 1.0: High-Resolution Space Borne SAR 3D Imaging Simulation Dataset of Man-Made Buildings
title: 3DSARBuSim 1.0：人造建筑高分辨星载SAR三维成像仿真数据集

description: Solemnly Declare: when using this data set to publish papers, books and other works, you must formally quote the papers to which this data set belongs:Citation: JIAO Runzhi, DENG Jia, HAN Yaquan, HUANG Haifeng, WANG Qingsong, LAI Tao, WANG Xiaoqing. 3DSARBuSim 1.0: High-Resolution Space Borne SAR 3D Imaging Simulation Dataset of Man-Made Buildings[J]. Journal of Electronics & Information Technology, 2024, 46(7): 2681-2693. doi: 10.11999/JEIT230882Authors: JIAO Runzhi, DENG Jia, HAN Yaquan, HUANG Haifeng, WANG Qingsong, LAI Tao, WANG XiaoqingAuthor Unit: School of Electronics and Communication Engineering, Sun Yat-sen UniversityCorrespondent: HUANG Haifeng，huanghaifeng@mail.sysu.edu.cnOriginal link：3DSARBuSim 1.0：人造建筑高分辨星载SAR三维成像仿真数据集Funds: The National Natural Science Foundation of China (62071499, 62273365)Abstract: Tomographic Synthetic Aperture Radar (TomoSAR) can effectively recover the information of ground objects in steep terrain, and is one of the research hotspots in urban mapping. However, the current public data sets lack the true values of the object models, and cannot quantitatively verify the TomoSAR algorithm. To solve this problem and further promote the development of TomoSAR technology, this paper first proposes an RT-SBRAS (Ray Tracing Based Space Borne Radar Advanced Simulator), which can quickly and stably simulate the spaceborne SAR images of complex buildings compared with previous methods. Based on this, the 1.0 version of the 3D SAR Building Simulation (3DSARBuSim) data set is constructed, which contains the full-link simulation data of eight typical building scenes in dual-band and multi-pass. Finally, Orthogonal Matching Pursuit (OMP) and dual-frequency OMP algorithms are verified on the proposed data set, and the data set can provide clear and accurate quantitative comparison for the algorithms.
description: Solemnly Declare: when using this data set to publish papers, books and other works, you must formally quote the papers to which this data set belongs:Citation: JIAO Runzhi, DENG Jia, HAN Yaquan, HUANG Haifeng, WANG Qingsong, LAI Tao, WANG Xiaoqing. 3DSARBuSim 1.0: High-Resolution Space Borne SAR 3D Imaging Simulation Dataset of Man-Made Buildings[J]. Journal of Electronics & Information Technology, 2024, 46(7): 2681-2693. doi: 10.11999/JEIT230882Authors: JIAO Runzhi, DENG Jia, HAN Yaquan, HUANG Haifeng, WANG Qingsong, LAI Tao, WANG XiaoqingAuthor Unit: School of Electronics and Communication Engineering, Sun Yat-sen UniversityCorrespondent: HUANG Haifeng，huanghaifeng@mail.sysu.edu.cnOriginal link：3DSARBuSim 1.0：人造建筑高分辨星载SAR三维成像仿真数据集Funds: The National Natural Science Foundation of China (62071499, 62273365)Abstract: Tomographic Synthetic Aperture Radar (TomoSAR) can effectively recover the information of ground objects in steep terrain, and is one of the research hotspots in urban mapping. However, the current public data sets lack the true values of the object models, and cannot quantitatively verify the TomoSAR algorithm. To solve this problem and further promote the development of TomoSAR technology, this paper first proposes an RT-SBRAS (Ray Tracing Based Space Borne Radar Advanced Simulator), which can quickly and stably simulate the spaceborne SAR images of complex buildings compared with previous methods. Based on this, the 1.0 version of the 3D SAR Building Simulation (3DSARBuSim) data set is constructed, which contains the full-link simulation data of eight typical building scenes in dual-band and multi-pass. Finally, Orthogonal Matching Pursuit (OMP) and dual-frequency OMP algorithms are verified on the proposed data set, and the data set can provide clear and accurate quantitative comparison for the algorithms.