GPU Acceleration for SAR Satellite Image Ortho-Rectification
Synthetic Aperture Radar (SAR) satellite image ortho-rectification requires pixel-level calculations, which are time-consuming. Moreover, for SAR images with large overlapping areas, the processing time for ortho-rectification increases linearly, significantly reducing the efficiency of SAR satellit...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-04-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/16/7/1301 |
| _version_ | 1797212000837697536 |
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| author | Lei Dong Tingtao Zhang Fangjian Liu Rui Liu Hongjian You |
| author_facet | Lei Dong Tingtao Zhang Fangjian Liu Rui Liu Hongjian You |
| author_sort | Lei Dong |
| collection | DOAJ |
| description | Synthetic Aperture Radar (SAR) satellite image ortho-rectification requires pixel-level calculations, which are time-consuming. Moreover, for SAR images with large overlapping areas, the processing time for ortho-rectification increases linearly, significantly reducing the efficiency of SAR satellite image mosaic. This paper thoroughly analyzes two geometric positioning models for SAR images. In order to address the high computation time of pixel-by-pixel ortho-rectification in SAR satellite images, a GPU-accelerated pixel-by-pixel correction method based on a rational polynomial coefficients (RPCs) model is proposed, which improves the efficiency of SAR satellite image ortho-rectification. Furthermore, in order to solve the problem of linearly increasing processing time for the ortho-rectification of multiple SAR images in large overlapping areas, a multi-GPU collaborative acceleration strategy for the ortho-rectification of multiple SAR images in large overlapping areas is proposed, achieving efficient ortho-rectification processing of multiple SAR image data in large overlapping areas. By conducting ortho-rectification experiments on 20 high-resolution SAR images from the Gaofen-3 satellite, the feasibility and efficiency of the multi-GPU collaborative acceleration processing algorithm are verified. |
| first_indexed | 2024-04-24T10:35:26Z |
| format | Article |
| id | doaj.art-3bbedb3d9e8742a6b19330e67563cbbd |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-04-24T10:35:26Z |
| publishDate | 2024-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-3bbedb3d9e8742a6b19330e67563cbbd2024-04-12T13:25:56ZengMDPI AGRemote Sensing2072-42922024-04-01167130110.3390/rs16071301GPU Acceleration for SAR Satellite Image Ortho-RectificationLei Dong0Tingtao Zhang1Fangjian Liu2Rui Liu3Hongjian You4Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, ChinaAerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, ChinaAerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, ChinaAerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, ChinaAerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, ChinaSynthetic Aperture Radar (SAR) satellite image ortho-rectification requires pixel-level calculations, which are time-consuming. Moreover, for SAR images with large overlapping areas, the processing time for ortho-rectification increases linearly, significantly reducing the efficiency of SAR satellite image mosaic. This paper thoroughly analyzes two geometric positioning models for SAR images. In order to address the high computation time of pixel-by-pixel ortho-rectification in SAR satellite images, a GPU-accelerated pixel-by-pixel correction method based on a rational polynomial coefficients (RPCs) model is proposed, which improves the efficiency of SAR satellite image ortho-rectification. Furthermore, in order to solve the problem of linearly increasing processing time for the ortho-rectification of multiple SAR images in large overlapping areas, a multi-GPU collaborative acceleration strategy for the ortho-rectification of multiple SAR images in large overlapping areas is proposed, achieving efficient ortho-rectification processing of multiple SAR image data in large overlapping areas. By conducting ortho-rectification experiments on 20 high-resolution SAR images from the Gaofen-3 satellite, the feasibility and efficiency of the multi-GPU collaborative acceleration processing algorithm are verified.https://www.mdpi.com/2072-4292/16/7/1301multi-GPU collaborative acceleration processingSAR image ortho-rectificationRPC model |
| spellingShingle | Lei Dong Tingtao Zhang Fangjian Liu Rui Liu Hongjian You GPU Acceleration for SAR Satellite Image Ortho-Rectification Remote Sensing multi-GPU collaborative acceleration processing SAR image ortho-rectification RPC model |
| title | GPU Acceleration for SAR Satellite Image Ortho-Rectification |
| title_full | GPU Acceleration for SAR Satellite Image Ortho-Rectification |
| title_fullStr | GPU Acceleration for SAR Satellite Image Ortho-Rectification |
| title_full_unstemmed | GPU Acceleration for SAR Satellite Image Ortho-Rectification |
| title_short | GPU Acceleration for SAR Satellite Image Ortho-Rectification |
| title_sort | gpu acceleration for sar satellite image ortho rectification |
| topic | multi-GPU collaborative acceleration processing SAR image ortho-rectification RPC model |
| url | https://www.mdpi.com/2072-4292/16/7/1301 |
| work_keys_str_mv | AT leidong gpuaccelerationforsarsatelliteimageorthorectification AT tingtaozhang gpuaccelerationforsarsatelliteimageorthorectification AT fangjianliu gpuaccelerationforsarsatelliteimageorthorectification AT ruiliu gpuaccelerationforsarsatelliteimageorthorectification AT hongjianyou gpuaccelerationforsarsatelliteimageorthorectification |