GEOMETRIC QUALITY EVALUATION METHOD FOR MULTI-VIEW SATELLITE IMAGES IN 3D RECONSTRUCTION
The quality of the 3D model reconstructed using multi-view satellite image depends on the quality of the image. To evaluate the geometric quality of the satellite image, we proposed a method to evaluate the geometric distortion for satellite images and defined the deviation coefficient as a metric t...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2020-08-01
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| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIII-B2-2020/533/2020/isprs-archives-XLIII-B2-2020-533-2020.pdf |
| _version_ | 1819160835372613632 |
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| author | H. Yi X. Chen D. Wang S. Du B. Xu D. Wang |
| author_facet | H. Yi X. Chen D. Wang S. Du B. Xu D. Wang |
| author_sort | H. Yi |
| collection | DOAJ |
| description | The quality of the 3D model reconstructed using multi-view satellite image depends on the quality of the image. To evaluate the geometric quality of the satellite image, we proposed a method to evaluate the geometric distortion for satellite images and defined the deviation coefficient as a metric to evaluate the bending degree of a curve. After projecting a ground grid consisting of straight lines into the image space, the geometric distortion of the image can be evaluated quantitatively by calculating the deviation coefficients of the projection trajectories. Experiments have been carried out with three datasets obtained by JiLin-1, GaoFen-2, and WorldView-3 respectively. The results show that the proposed method can used to evaluate the geometric quality of satellite images effectively, and this evaluation method will be useful in image selecting in 3D reconstruction using multi-view satellite images. |
| first_indexed | 2024-12-22T17:02:46Z |
| format | Article |
| id | doaj.art-837dd03ca733422baadbcff192b81fc8 |
| institution | Directory Open Access Journal |
| issn | 1682-1750 2194-9034 |
| language | English |
| last_indexed | 2024-12-22T17:02:46Z |
| publishDate | 2020-08-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| spelling | doaj.art-837dd03ca733422baadbcff192b81fc82022-12-21T18:19:18ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342020-08-01XLIII-B2-202053353910.5194/isprs-archives-XLIII-B2-2020-533-2020GEOMETRIC QUALITY EVALUATION METHOD FOR MULTI-VIEW SATELLITE IMAGES IN 3D RECONSTRUCTIONH. Yi0X. Chen1D. Wang2S. Du3B. Xu4D. Wang5Academic of Space Information, Space Engineering University, 101416 Beijing, ChinaAcademic of Space Information, Space Engineering University, 101416 Beijing, ChinaAcademic of Space Information, Space Engineering University, 101416 Beijing, ChinaAcademic of Space Information, Space Engineering University, 101416 Beijing, ChinaAcademic of Space Information, Space Engineering University, 101416 Beijing, ChinaBeijing Satellite Navigation Center, Beijing, ChinaThe quality of the 3D model reconstructed using multi-view satellite image depends on the quality of the image. To evaluate the geometric quality of the satellite image, we proposed a method to evaluate the geometric distortion for satellite images and defined the deviation coefficient as a metric to evaluate the bending degree of a curve. After projecting a ground grid consisting of straight lines into the image space, the geometric distortion of the image can be evaluated quantitatively by calculating the deviation coefficients of the projection trajectories. Experiments have been carried out with three datasets obtained by JiLin-1, GaoFen-2, and WorldView-3 respectively. The results show that the proposed method can used to evaluate the geometric quality of satellite images effectively, and this evaluation method will be useful in image selecting in 3D reconstruction using multi-view satellite images.https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIII-B2-2020/533/2020/isprs-archives-XLIII-B2-2020-533-2020.pdf |
| spellingShingle | H. Yi X. Chen D. Wang S. Du B. Xu D. Wang GEOMETRIC QUALITY EVALUATION METHOD FOR MULTI-VIEW SATELLITE IMAGES IN 3D RECONSTRUCTION The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| title | GEOMETRIC QUALITY EVALUATION METHOD FOR MULTI-VIEW SATELLITE IMAGES IN 3D RECONSTRUCTION |
| title_full | GEOMETRIC QUALITY EVALUATION METHOD FOR MULTI-VIEW SATELLITE IMAGES IN 3D RECONSTRUCTION |
| title_fullStr | GEOMETRIC QUALITY EVALUATION METHOD FOR MULTI-VIEW SATELLITE IMAGES IN 3D RECONSTRUCTION |
| title_full_unstemmed | GEOMETRIC QUALITY EVALUATION METHOD FOR MULTI-VIEW SATELLITE IMAGES IN 3D RECONSTRUCTION |
| title_short | GEOMETRIC QUALITY EVALUATION METHOD FOR MULTI-VIEW SATELLITE IMAGES IN 3D RECONSTRUCTION |
| title_sort | geometric quality evaluation method for multi view satellite images in 3d reconstruction |
| url | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIII-B2-2020/533/2020/isprs-archives-XLIII-B2-2020-533-2020.pdf |
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