Three-Dimensional Slope Imaging Method for Ground-Based Real-Aperture Radar

Traditional two-dimensional radar images can only reflect the target azimuth and slant range and thus suffer problems of geometric deformation and overlapping. The unique three-dimensional (3D) imaging capability of ground-based real-aperture radar can more accurately and directly achieve correlatio...

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Main Authors: Hao Zhang, Xiaolin Yang, Feng Yang, Haitao Ma, Zhengxing Yu, Xiangtian Zheng, Yuan Sun
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/21/10/3511
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author Hao Zhang
Xiaolin Yang
Feng Yang
Haitao Ma
Zhengxing Yu
Xiangtian Zheng
Yuan Sun
author_facet Hao Zhang
Xiaolin Yang
Feng Yang
Haitao Ma
Zhengxing Yu
Xiangtian Zheng
Yuan Sun
author_sort Hao Zhang
collection DOAJ
description Traditional two-dimensional radar images can only reflect the target azimuth and slant range and thus suffer problems of geometric deformation and overlapping. The unique three-dimensional (3D) imaging capability of ground-based real-aperture radar can more accurately and directly achieve correlation between the radar image and the slope monitoring scenarios, thus providing reliable information for the early warning and forecasting of landslides and collapse disasters. The latest method of selecting a slope target from a high-resolution range profile includes two indexes: maximum amplitude and coherence, which will affect the accuracy of displacement measurement when there is an interference target. We present a three-dimensional slope imaging method based on smoothness constraints. On the basis of the latest method, the objective fact of the practically smooth and continuous distribution of slope surfaces is considered. This method can be used for image interpretation on strongly scattered targets within the slope. The independently developed ground-based real-aperture slope radar system was deployed in the Heidaigou Open-Pit Coal Mine in Inner Mongolia to carry out 3D slope imaging experiments. The effectiveness of this method in slope monitoring and imaging was confirmed by comparing the surface roughness and the spatial positions of the targets with the high-density point cloud data in the projective plane obtained during the same time period. We used RMSE function and roughness as two measures. It shows that the method presented in this paper is more suitable for actual three-dimensional slope imaging.
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spelling doaj.art-88051bf70a074c089c053577e598c02c2023-11-21T20:14:51ZengMDPI AGSensors1424-82202021-05-012110351110.3390/s21103511Three-Dimensional Slope Imaging Method for Ground-Based Real-Aperture RadarHao Zhang0Xiaolin Yang1Feng Yang2Haitao Ma3Zhengxing Yu4Xiangtian Zheng5Yuan Sun6School of Mechanical Electronic and Information Engineering, China University of Mining and Technology (Beijing), Beijing 100083, ChinaChina Academy of Safety Science and Technology, Beijing 100012, ChinaSchool of Mechanical Electronic and Information Engineering, China University of Mining and Technology (Beijing), Beijing 100083, ChinaChina Academy of Safety Science and Technology, Beijing 100012, ChinaChina Academy of Safety Science and Technology, Beijing 100012, ChinaSchool of Earth Science and Engineering, Hohai University, Nanjing 211100, ChinaSchool of Mechanical Electronic and Information Engineering, China University of Mining and Technology (Beijing), Beijing 100083, ChinaTraditional two-dimensional radar images can only reflect the target azimuth and slant range and thus suffer problems of geometric deformation and overlapping. The unique three-dimensional (3D) imaging capability of ground-based real-aperture radar can more accurately and directly achieve correlation between the radar image and the slope monitoring scenarios, thus providing reliable information for the early warning and forecasting of landslides and collapse disasters. The latest method of selecting a slope target from a high-resolution range profile includes two indexes: maximum amplitude and coherence, which will affect the accuracy of displacement measurement when there is an interference target. We present a three-dimensional slope imaging method based on smoothness constraints. On the basis of the latest method, the objective fact of the practically smooth and continuous distribution of slope surfaces is considered. This method can be used for image interpretation on strongly scattered targets within the slope. The independently developed ground-based real-aperture slope radar system was deployed in the Heidaigou Open-Pit Coal Mine in Inner Mongolia to carry out 3D slope imaging experiments. The effectiveness of this method in slope monitoring and imaging was confirmed by comparing the surface roughness and the spatial positions of the targets with the high-density point cloud data in the projective plane obtained during the same time period. We used RMSE function and roughness as two measures. It shows that the method presented in this paper is more suitable for actual three-dimensional slope imaging.https://www.mdpi.com/1424-8220/21/10/3511slope monitoringground-based real-aperture radarsmoothness constraintthree-dimensional imaging
spellingShingle Hao Zhang
Xiaolin Yang
Feng Yang
Haitao Ma
Zhengxing Yu
Xiangtian Zheng
Yuan Sun
Three-Dimensional Slope Imaging Method for Ground-Based Real-Aperture Radar
Sensors
slope monitoring
ground-based real-aperture radar
smoothness constraint
three-dimensional imaging
title Three-Dimensional Slope Imaging Method for Ground-Based Real-Aperture Radar
title_full Three-Dimensional Slope Imaging Method for Ground-Based Real-Aperture Radar
title_fullStr Three-Dimensional Slope Imaging Method for Ground-Based Real-Aperture Radar
title_full_unstemmed Three-Dimensional Slope Imaging Method for Ground-Based Real-Aperture Radar
title_short Three-Dimensional Slope Imaging Method for Ground-Based Real-Aperture Radar
title_sort three dimensional slope imaging method for ground based real aperture radar
topic slope monitoring
ground-based real-aperture radar
smoothness constraint
three-dimensional imaging
url https://www.mdpi.com/1424-8220/21/10/3511
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