Parametric SAR Imaging for Typical Lines and Surfaces
In the Synthetic Aperture Radar (SAR) remote sensing imagery of complicated scenes (especially urban scenes), there are a large number of lines and surfaces, such as roads in urban areas and the surfaces of buildings. These microwave-signal-scattering features have strong directivity. Traditional S...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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China Science Publishing & Media Ltd. (CSPM)
2020-02-01
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| Series: | Leida xuebao |
| Subjects: | |
| Online Access: | http://radars.ie.ac.cn/article/doi/10.12000/JR19077?viewType=HTML |
| _version_ | 1827613326919598080 |
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| author | WEI Yangkai ZENG Tao CHEN Xinliang DING Zegang FAN Yujie WEN Yuhan |
| author_facet | WEI Yangkai ZENG Tao CHEN Xinliang DING Zegang FAN Yujie WEN Yuhan |
| author_sort | WEI Yangkai |
| collection | DOAJ |
| description | In the Synthetic Aperture Radar (SAR) remote sensing imagery of complicated scenes (especially urban scenes), there are a large number of lines and surfaces, such as roads in urban areas and the surfaces of
buildings. These microwave-signal-scattering features have strong directivity. Traditional SAR acquires the scattering information of a scene from a single observation, and traditional imaging algorithms are based on the point target model, which makes the main features of the lines and surfaces in traditional SAR images appear as a series of strong scattering points rather than line-scattering and surface-scattering features. This outcome ultimately causes the target to be discontinuous in the SAR image, thus making the SAR image difficult to interpret. Therefore, in this study, we conducted an in-depth and meticulous investigation of the SAR imaging mechanism for lines and surfaces by establishing a parametric echo model of typical lines and triangular surfaces. Based on the proposed parametric model, we performed parametric imaging of these lines and surfaces. Based on our results, we propose a parametric imaging method, in which the typical lines and surfaces are classified and determined based on Bayesian theory and the proposed parametric model. Then, an SAR image can be obtained that effectively characterizes the scattering features of the line and surface targets by visual imaging, which effectively facilitates SAR image interpretation. The results of our numerical simulation experiments verify the validity of the proposed method. |
| first_indexed | 2024-03-09T08:38:09Z |
| format | Article |
| id | doaj.art-ad0b3c45150e421cb2d0b272ec9c6b84 |
| institution | Directory Open Access Journal |
| issn | 2095-283X 2095-283X |
| language | English |
| last_indexed | 2024-03-09T08:38:09Z |
| publishDate | 2020-02-01 |
| publisher | China Science Publishing & Media Ltd. (CSPM) |
| record_format | Article |
| series | Leida xuebao |
| spelling | doaj.art-ad0b3c45150e421cb2d0b272ec9c6b842023-12-02T17:45:37ZengChina Science Publishing & Media Ltd. (CSPM)Leida xuebao2095-283X2095-283X2020-02-019114315310.12000/JR19077Parametric SAR Imaging for Typical Lines and SurfacesWEI Yangkai0ZENG Tao1CHEN Xinliang2DING Zegang3FAN Yujie4WEN Yuhan5①(Radar Research Lab, School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China)②(Beijing Key Laboratory of Embedded Real-Time Processing Technology, Beijing 100081, China)①(Radar Research Lab, School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China)②(Beijing Key Laboratory of Embedded Real-Time Processing Technology, Beijing 100081, China)③(Beijing Institute of Technology Chongqing Innovation Center, Chongqing 401120, China)①(Radar Research Lab, School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China)③(Beijing Institute of Technology Chongqing Innovation Center, Chongqing 401120, China)①(Radar Research Lab, School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China)②(Beijing Key Laboratory of Embedded Real-Time Processing Technology, Beijing 100081, China)①(Radar Research Lab, School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China)②(Beijing Key Laboratory of Embedded Real-Time Processing Technology, Beijing 100081, China)①(Radar Research Lab, School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China)②(Beijing Key Laboratory of Embedded Real-Time Processing Technology, Beijing 100081, China)In the Synthetic Aperture Radar (SAR) remote sensing imagery of complicated scenes (especially urban scenes), there are a large number of lines and surfaces, such as roads in urban areas and the surfaces of buildings. These microwave-signal-scattering features have strong directivity. Traditional SAR acquires the scattering information of a scene from a single observation, and traditional imaging algorithms are based on the point target model, which makes the main features of the lines and surfaces in traditional SAR images appear as a series of strong scattering points rather than line-scattering and surface-scattering features. This outcome ultimately causes the target to be discontinuous in the SAR image, thus making the SAR image difficult to interpret. Therefore, in this study, we conducted an in-depth and meticulous investigation of the SAR imaging mechanism for lines and surfaces by establishing a parametric echo model of typical lines and triangular surfaces. Based on the proposed parametric model, we performed parametric imaging of these lines and surfaces. Based on our results, we propose a parametric imaging method, in which the typical lines and surfaces are classified and determined based on Bayesian theory and the proposed parametric model. Then, an SAR image can be obtained that effectively characterizes the scattering features of the line and surface targets by visual imaging, which effectively facilitates SAR image interpretation. The results of our numerical simulation experiments verify the validity of the proposed method.http://radars.ie.ac.cn/article/doi/10.12000/JR19077?viewType=HTMLlines and surfacessynthetic aperture radar (sar)parametric modelparametric imaging |
| spellingShingle | WEI Yangkai ZENG Tao CHEN Xinliang DING Zegang FAN Yujie WEN Yuhan Parametric SAR Imaging for Typical Lines and Surfaces Leida xuebao lines and surfaces synthetic aperture radar (sar) parametric model parametric imaging |
| title | Parametric SAR Imaging for Typical Lines and Surfaces |
| title_full | Parametric SAR Imaging for Typical Lines and Surfaces |
| title_fullStr | Parametric SAR Imaging for Typical Lines and Surfaces |
| title_full_unstemmed | Parametric SAR Imaging for Typical Lines and Surfaces |
| title_short | Parametric SAR Imaging for Typical Lines and Surfaces |
| title_sort | parametric sar imaging for typical lines and surfaces |
| topic | lines and surfaces synthetic aperture radar (sar) parametric model parametric imaging |
| url | http://radars.ie.ac.cn/article/doi/10.12000/JR19077?viewType=HTML |
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