Multi-View Data-Based Layover Information Compensation Method for SAR Image Mosaic
Currently, massive Synthetic Aperture Radar (SAR) images acquired from numerous SAR satellites have been widely utilized in various fields, and image mosaicking technology provides important support and assistance for these applications. The traditional mosaic method selects specific SAR images that...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-01-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/16/3/564 |
| _version_ | 1797318275353280512 |
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| author | Rui Liu Feng Wang Niangang Jiao Hongjian You Yuxin Hu Guangyao Zhou Yao Chen |
| author_facet | Rui Liu Feng Wang Niangang Jiao Hongjian You Yuxin Hu Guangyao Zhou Yao Chen |
| author_sort | Rui Liu |
| collection | DOAJ |
| description | Currently, massive Synthetic Aperture Radar (SAR) images acquired from numerous SAR satellites have been widely utilized in various fields, and image mosaicking technology provides important support and assistance for these applications. The traditional mosaic method selects specific SAR images that can cover the region of interest (ROI) from redundant data to produce “One Map”. However, an SAR image suffers from severe geometric distortion, especially in mountainous areas, which inevitably reduces the utilization of mosaic image. Therefore, a multi-view data-based layover information compensation (MDLIC) method for SAR image mosaic is proposed, aiming to take full advantage of multi-view data to compensate for the missing information in the layover area of the SAR image. This is performed to improve the information content of the mosaic image and realize efficient thematic information extraction and analysis. First, the calculation of the object-space extent of all images and the division of object-space grid are completed on the basis of geometric and radiometric preprocessing. Then, according to the transformation relationship between the object-space and the image-space, the sampling rate image of each image corresponding to the object-space grid is generated, which determines the layover area and the layover degree in each image. Finally, the information compensation strategy is implemented in accordance with the sampling rate image to realize the compensation of the layover information. The feasibility and effectiveness of the MDLIC method are verified by using multiple SAR images from the Chinese Gaofen-3 01 satellite as datasets for experiments. The experimental results indicate that the MDLIC method can obtain mosaic images with richer information compared with the traditional method, while still providing satisfactory results. |
| first_indexed | 2024-03-08T03:50:06Z |
| format | Article |
| id | doaj.art-b16bc72934ae439da06a972db0ca2f67 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-08T03:50:06Z |
| publishDate | 2024-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-b16bc72934ae439da06a972db0ca2f672024-02-09T15:21:29ZengMDPI AGRemote Sensing2072-42922024-01-0116356410.3390/rs16030564Multi-View Data-Based Layover Information Compensation Method for SAR Image MosaicRui Liu0Feng Wang1Niangang Jiao2Hongjian You3Yuxin Hu4Guangyao Zhou5Yao Chen6Aerospace 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, ChinaAerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, ChinaAerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, ChinaCurrently, massive Synthetic Aperture Radar (SAR) images acquired from numerous SAR satellites have been widely utilized in various fields, and image mosaicking technology provides important support and assistance for these applications. The traditional mosaic method selects specific SAR images that can cover the region of interest (ROI) from redundant data to produce “One Map”. However, an SAR image suffers from severe geometric distortion, especially in mountainous areas, which inevitably reduces the utilization of mosaic image. Therefore, a multi-view data-based layover information compensation (MDLIC) method for SAR image mosaic is proposed, aiming to take full advantage of multi-view data to compensate for the missing information in the layover area of the SAR image. This is performed to improve the information content of the mosaic image and realize efficient thematic information extraction and analysis. First, the calculation of the object-space extent of all images and the division of object-space grid are completed on the basis of geometric and radiometric preprocessing. Then, according to the transformation relationship between the object-space and the image-space, the sampling rate image of each image corresponding to the object-space grid is generated, which determines the layover area and the layover degree in each image. Finally, the information compensation strategy is implemented in accordance with the sampling rate image to realize the compensation of the layover information. The feasibility and effectiveness of the MDLIC method are verified by using multiple SAR images from the Chinese Gaofen-3 01 satellite as datasets for experiments. The experimental results indicate that the MDLIC method can obtain mosaic images with richer information compared with the traditional method, while still providing satisfactory results.https://www.mdpi.com/2072-4292/16/3/564Synthetic Aperture Radar (SAR)mosaiclayoverinformation compensationmulti-view data |
| spellingShingle | Rui Liu Feng Wang Niangang Jiao Hongjian You Yuxin Hu Guangyao Zhou Yao Chen Multi-View Data-Based Layover Information Compensation Method for SAR Image Mosaic Remote Sensing Synthetic Aperture Radar (SAR) mosaic layover information compensation multi-view data |
| title | Multi-View Data-Based Layover Information Compensation Method for SAR Image Mosaic |
| title_full | Multi-View Data-Based Layover Information Compensation Method for SAR Image Mosaic |
| title_fullStr | Multi-View Data-Based Layover Information Compensation Method for SAR Image Mosaic |
| title_full_unstemmed | Multi-View Data-Based Layover Information Compensation Method for SAR Image Mosaic |
| title_short | Multi-View Data-Based Layover Information Compensation Method for SAR Image Mosaic |
| title_sort | multi view data based layover information compensation method for sar image mosaic |
| topic | Synthetic Aperture Radar (SAR) mosaic layover information compensation multi-view data |
| url | https://www.mdpi.com/2072-4292/16/3/564 |
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