A Novel Mosaic Method for Spaceborne ScanSAR Images Based on Homography Matrix Compensation
Accurate and efficient image mosaicking is essential for generating wide-range swath images of spaceborne scanning synthetic aperture radar (ScanSAR). However, the existing methods cannot guarantee the accuracy and efficiency of stitching simultaneously, especially when mosaicking multiple large-are...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-07-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/13/15/2866 |
| _version_ | 1797525160409956352 |
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| author | Jianghao Tian Yulun Wu Yonghua Cai Huaitao Fan Weidong Yu |
| author_facet | Jianghao Tian Yulun Wu Yonghua Cai Huaitao Fan Weidong Yu |
| author_sort | Jianghao Tian |
| collection | DOAJ |
| description | Accurate and efficient image mosaicking is essential for generating wide-range swath images of spaceborne scanning synthetic aperture radar (ScanSAR). However, the existing methods cannot guarantee the accuracy and efficiency of stitching simultaneously, especially when mosaicking multiple large-area images. In this paper, we propose a novel image mosaic method based on homography matrix compensation to solve the mentioned problem. A set of spaceborne ScanSAR images from the Gaofen-3 (GF-3) satellite were selected to test the performance of the new method. First, images are preprocessed by an improved Wallis filter to eliminate intensity inconsistencies. Then, to reduce the enormous computational redundancy of registration, the overlapping areas of adjacent images are coarsely extracted using geolocation technologies. Furthermore, to improve the efficiency of stitching and maintain the original information and resolution of images, we deduce a compensation of homography matrix to implement downsampled images registration and original-size images projection. After stitching, the transitions at the edges of the images were smooth and seamless, the information and resolution of the original images were preserved successfully, and the efficiency of the mosaic was improved by approximately one thousand-fold. The validity, high efficiency and reliability of the method are verified. |
| first_indexed | 2024-03-10T09:09:49Z |
| format | Article |
| id | doaj.art-120f095056d847d690be57ea572358c8 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-10T09:09:49Z |
| publishDate | 2021-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-120f095056d847d690be57ea572358c82023-11-22T06:05:18ZengMDPI AGRemote Sensing2072-42922021-07-011315286610.3390/rs13152866A Novel Mosaic Method for Spaceborne ScanSAR Images Based on Homography Matrix CompensationJianghao Tian0Yulun Wu1Yonghua Cai2Huaitao Fan3Weidong Yu4The Department of Space Microwave Remote Sensing System, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100194, ChinaThe Department of Space Microwave Remote Sensing System, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100194, ChinaThe Department of Space Microwave Remote Sensing System, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100194, ChinaThe Department of Space Microwave Remote Sensing System, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100194, ChinaThe Department of Space Microwave Remote Sensing System, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100194, ChinaAccurate and efficient image mosaicking is essential for generating wide-range swath images of spaceborne scanning synthetic aperture radar (ScanSAR). However, the existing methods cannot guarantee the accuracy and efficiency of stitching simultaneously, especially when mosaicking multiple large-area images. In this paper, we propose a novel image mosaic method based on homography matrix compensation to solve the mentioned problem. A set of spaceborne ScanSAR images from the Gaofen-3 (GF-3) satellite were selected to test the performance of the new method. First, images are preprocessed by an improved Wallis filter to eliminate intensity inconsistencies. Then, to reduce the enormous computational redundancy of registration, the overlapping areas of adjacent images are coarsely extracted using geolocation technologies. Furthermore, to improve the efficiency of stitching and maintain the original information and resolution of images, we deduce a compensation of homography matrix to implement downsampled images registration and original-size images projection. After stitching, the transitions at the edges of the images were smooth and seamless, the information and resolution of the original images were preserved successfully, and the efficiency of the mosaic was improved by approximately one thousand-fold. The validity, high efficiency and reliability of the method are verified.https://www.mdpi.com/2072-4292/13/15/2866scanning synthetic aperture radar (ScanSAR)image mosaicoverlapping area extractionhomography matrix compensationparallel registrationGaofen-3 satellite |
| spellingShingle | Jianghao Tian Yulun Wu Yonghua Cai Huaitao Fan Weidong Yu A Novel Mosaic Method for Spaceborne ScanSAR Images Based on Homography Matrix Compensation Remote Sensing scanning synthetic aperture radar (ScanSAR) image mosaic overlapping area extraction homography matrix compensation parallel registration Gaofen-3 satellite |
| title | A Novel Mosaic Method for Spaceborne ScanSAR Images Based on Homography Matrix Compensation |
| title_full | A Novel Mosaic Method for Spaceborne ScanSAR Images Based on Homography Matrix Compensation |
| title_fullStr | A Novel Mosaic Method for Spaceborne ScanSAR Images Based on Homography Matrix Compensation |
| title_full_unstemmed | A Novel Mosaic Method for Spaceborne ScanSAR Images Based on Homography Matrix Compensation |
| title_short | A Novel Mosaic Method for Spaceborne ScanSAR Images Based on Homography Matrix Compensation |
| title_sort | novel mosaic method for spaceborne scansar images based on homography matrix compensation |
| topic | scanning synthetic aperture radar (ScanSAR) image mosaic overlapping area extraction homography matrix compensation parallel registration Gaofen-3 satellite |
| url | https://www.mdpi.com/2072-4292/13/15/2866 |
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