Sea Surface Imaging Simulation for 3D Interferometric Imaging Radar Altimeter
The interferometric imaging radar altimeter (InIRA) is a new generation radar altimeter, which can provide two-dimensional images of the sea surface topography at high resolution along a wide swath. This article proposes a method for the simulation of sea surface images measured by InIRA. First, the...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2021-01-01
|
| Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9240043/ |
| _version_ | 1818591885963296768 |
|---|---|
| author | Zhaoxia Wang Yongxin Liu Jie Zhang Chenqing Fan |
| author_facet | Zhaoxia Wang Yongxin Liu Jie Zhang Chenqing Fan |
| author_sort | Zhaoxia Wang |
| collection | DOAJ |
| description | The interferometric imaging radar altimeter (InIRA) is a new generation radar altimeter, which can provide two-dimensional images of the sea surface topography at high resolution along a wide swath. This article proposes a method for the simulation of sea surface images measured by InIRA. First, the Pierson-Moskowitz wave spectrum and two-scale model are used to simulate the sea surface from which elevation data is to be acquired. This simulated sea surface is then divided into small triangular facets using Delaunay triangulation. Second, the backscattering cross sections of these small facets are calculated via application of quasi-mirror scattering theory, and the backscattering coefficient of the simulated region derived via coherent superposition. Third, system parameters are set, consistent with the basic principle of InIRA. Assuming that the signal transmitted is a linear frequency modulation pulse signal, the simulation images are then derived using the range Doppler and back projection algorithms. By inverting the interferometric phase diagram, elevation estimates can be derived, and compared with original simulated sea levels. This demonstrated accuracy within the centimeter range, verifying the correctness and feasibility of the proposed method. |
| first_indexed | 2024-12-16T10:19:33Z |
| format | Article |
| id | doaj.art-956f3ac28118469d90f45716a66cb204 |
| institution | Directory Open Access Journal |
| issn | 2151-1535 |
| language | English |
| last_indexed | 2024-12-16T10:19:33Z |
| publishDate | 2021-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| spelling | doaj.art-956f3ac28118469d90f45716a66cb2042022-12-21T22:35:20ZengIEEEIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing2151-15352021-01-0114627410.1109/JSTARS.2020.30331649240043Sea Surface Imaging Simulation for 3D Interferometric Imaging Radar AltimeterZhaoxia Wang0https://orcid.org/0000-0001-5964-5960Yongxin Liu1Jie Zhang2Chenqing Fan3College of Computer Science, Inner Mongolia University, Hohhot, ChinaCollege of Electronic Information Engineering, Inner Mongolia University, Hohhot, ChinaFirst Institute of Oceanography, Ministry of Natural Resources, Qingdao, ChinaFirst Institute of Oceanography, Ministry of Natural Resources, Qingdao, ChinaThe interferometric imaging radar altimeter (InIRA) is a new generation radar altimeter, which can provide two-dimensional images of the sea surface topography at high resolution along a wide swath. This article proposes a method for the simulation of sea surface images measured by InIRA. First, the Pierson-Moskowitz wave spectrum and two-scale model are used to simulate the sea surface from which elevation data is to be acquired. This simulated sea surface is then divided into small triangular facets using Delaunay triangulation. Second, the backscattering cross sections of these small facets are calculated via application of quasi-mirror scattering theory, and the backscattering coefficient of the simulated region derived via coherent superposition. Third, system parameters are set, consistent with the basic principle of InIRA. Assuming that the signal transmitted is a linear frequency modulation pulse signal, the simulation images are then derived using the range Doppler and back projection algorithms. By inverting the interferometric phase diagram, elevation estimates can be derived, and compared with original simulated sea levels. This demonstrated accuracy within the centimeter range, verifying the correctness and feasibility of the proposed method.https://ieeexplore.ieee.org/document/9240043/Elevation inversioninterferometric imaging radar altimeter (InIRA)quasi-mirror scatteringsea surface imaging simulation |
| spellingShingle | Zhaoxia Wang Yongxin Liu Jie Zhang Chenqing Fan Sea Surface Imaging Simulation for 3D Interferometric Imaging Radar Altimeter IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Elevation inversion interferometric imaging radar altimeter (InIRA) quasi-mirror scattering sea surface imaging simulation |
| title | Sea Surface Imaging Simulation for 3D Interferometric Imaging Radar Altimeter |
| title_full | Sea Surface Imaging Simulation for 3D Interferometric Imaging Radar Altimeter |
| title_fullStr | Sea Surface Imaging Simulation for 3D Interferometric Imaging Radar Altimeter |
| title_full_unstemmed | Sea Surface Imaging Simulation for 3D Interferometric Imaging Radar Altimeter |
| title_short | Sea Surface Imaging Simulation for 3D Interferometric Imaging Radar Altimeter |
| title_sort | sea surface imaging simulation for 3d interferometric imaging radar altimeter |
| topic | Elevation inversion interferometric imaging radar altimeter (InIRA) quasi-mirror scattering sea surface imaging simulation |
| url | https://ieeexplore.ieee.org/document/9240043/ |
| work_keys_str_mv | AT zhaoxiawang seasurfaceimagingsimulationfor3dinterferometricimagingradaraltimeter AT yongxinliu seasurfaceimagingsimulationfor3dinterferometricimagingradaraltimeter AT jiezhang seasurfaceimagingsimulationfor3dinterferometricimagingradaraltimeter AT chenqingfan seasurfaceimagingsimulationfor3dinterferometricimagingradaraltimeter |