A Novel 3D Point Cloud Reconstruction Method for Single-Pass Circular SAR Based on Inverse Mapping with Target Contour Constraints
Circular synthetic aperture radar (CSAR) is an advanced imaging mechanism with three-dimensional (3D) imaging capability, enabling the acquisition of omnidirectional scattering information for observation regions. The existing 3D point cloud reconstruction method for single-pass CSAR is capable of o...
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| Format: | Article |
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MDPI AG
2025-04-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/17/7/1275 |
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| author | Qiming Zhang Jinping Sun Fei Teng Yun Lin Wen Hong |
| author_facet | Qiming Zhang Jinping Sun Fei Teng Yun Lin Wen Hong |
| author_sort | Qiming Zhang |
| collection | DOAJ |
| description | Circular synthetic aperture radar (CSAR) is an advanced imaging mechanism with three-dimensional (3D) imaging capability, enabling the acquisition of omnidirectional scattering information for observation regions. The existing 3D point cloud reconstruction method for single-pass CSAR is capable of obtaining the 3D scattering points for targets by inversely mapping the projection points in multi-aspect sub-aperture images and subsequently voting on the scattering candidates. However, due to the influence of non-target background points in multi-aspect sub-aperture images, there are several false points in the 3D reconstruction result, which affect the quality of the produced 3D point cloud. In this paper, we propose a novel 3D point cloud reconstruction method for single-pass CSAR based on inverse mapping with target contour constraints. The proposed method can constrain the range and height of inverse mapping by extracting the contour information of targets from multi-aspect sub-aperture CSAR images, which contributes to improving the reconstruction quality of 3D point clouds for targets. The performance of the proposed method was verified based on X-band CSAR measured data sets. |
| format | Article |
| id | doaj-art-8e2b7ca3cd7846e0953793f3b0da2919 |
| institution | OA Journals |
| issn | 2072-4292 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj-art-8e2b7ca3cd7846e0953793f3b0da29192025-08-20T02:15:54ZengMDPI AGRemote Sensing2072-42922025-04-01177127510.3390/rs17071275A Novel 3D Point Cloud Reconstruction Method for Single-Pass Circular SAR Based on Inverse Mapping with Target Contour ConstraintsQiming Zhang0Jinping Sun1Fei Teng2Yun Lin3Wen Hong4School of Electronic Information Engineering, Beihang University, Beijing 100191, ChinaSchool of Electronic Information Engineering, Beihang University, Beijing 100191, ChinaAerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, ChinaSchool of Electronic Information Engineering, North China University of Technology, Beijing 100144, ChinaAerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, ChinaCircular synthetic aperture radar (CSAR) is an advanced imaging mechanism with three-dimensional (3D) imaging capability, enabling the acquisition of omnidirectional scattering information for observation regions. The existing 3D point cloud reconstruction method for single-pass CSAR is capable of obtaining the 3D scattering points for targets by inversely mapping the projection points in multi-aspect sub-aperture images and subsequently voting on the scattering candidates. However, due to the influence of non-target background points in multi-aspect sub-aperture images, there are several false points in the 3D reconstruction result, which affect the quality of the produced 3D point cloud. In this paper, we propose a novel 3D point cloud reconstruction method for single-pass CSAR based on inverse mapping with target contour constraints. The proposed method can constrain the range and height of inverse mapping by extracting the contour information of targets from multi-aspect sub-aperture CSAR images, which contributes to improving the reconstruction quality of 3D point clouds for targets. The performance of the proposed method was verified based on X-band CSAR measured data sets.https://www.mdpi.com/2072-4292/17/7/1275circular synthetic aperture radar (CSAR)inverse mappingtarget contour informationsub-aperture image3D point cloud reconstruction |
| spellingShingle | Qiming Zhang Jinping Sun Fei Teng Yun Lin Wen Hong A Novel 3D Point Cloud Reconstruction Method for Single-Pass Circular SAR Based on Inverse Mapping with Target Contour Constraints Remote Sensing circular synthetic aperture radar (CSAR) inverse mapping target contour information sub-aperture image 3D point cloud reconstruction |
| title | A Novel 3D Point Cloud Reconstruction Method for Single-Pass Circular SAR Based on Inverse Mapping with Target Contour Constraints |
| title_full | A Novel 3D Point Cloud Reconstruction Method for Single-Pass Circular SAR Based on Inverse Mapping with Target Contour Constraints |
| title_fullStr | A Novel 3D Point Cloud Reconstruction Method for Single-Pass Circular SAR Based on Inverse Mapping with Target Contour Constraints |
| title_full_unstemmed | A Novel 3D Point Cloud Reconstruction Method for Single-Pass Circular SAR Based on Inverse Mapping with Target Contour Constraints |
| title_short | A Novel 3D Point Cloud Reconstruction Method for Single-Pass Circular SAR Based on Inverse Mapping with Target Contour Constraints |
| title_sort | novel 3d point cloud reconstruction method for single pass circular sar based on inverse mapping with target contour constraints |
| topic | circular synthetic aperture radar (CSAR) inverse mapping target contour information sub-aperture image 3D point cloud reconstruction |
| url | https://www.mdpi.com/2072-4292/17/7/1275 |
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