HighStitch: High Altitude Georeferenced Aerial Images Stitching for Rocking Telephoto Lens
A georeferenced orthophoto built from aerial images is the basic resource for various of remote sensing applications. As traditional low flight altitude aerial photographic survey is hard to handle large areas, higher altitude brings better survey efficiency, and a telephoto camera is required to ma...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2021-01-01
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| Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9599576/ |
| _version_ | 1818824886075785216 |
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| author | Yong Zhao Shibiao Xu Shuhui Bu Hongkai Jiang Pengcheng Han |
| author_facet | Yong Zhao Shibiao Xu Shuhui Bu Hongkai Jiang Pengcheng Han |
| author_sort | Yong Zhao |
| collection | DOAJ |
| description | A georeferenced orthophoto built from aerial images is the basic resource for various of remote sensing applications. As traditional low flight altitude aerial photographic survey is hard to handle large areas, higher altitude brings better survey efficiency, and a telephoto camera is required to maintain the resolution. Since existed structure from motion (SfM) methods are not suitable to process the low field-of-view images with high altitude, this article presents a novel georeferenced orthophoto stitching solution for telephoto images, which contain both translation and rotation movements. A mission planning strategy is designed to guarantee the consistent quality, according to the flight plan and camera intrinsic parameters. The potential matching topology is obtained by projecting images to the prior ground plan,e and overlap scores are estimated for neighbors query, followed with a feature-based keypoint matching. The ground plane and camera poses are optimized by joint considering feature matches, GPS and gimbal rotation information, while the final orthophoto is fused with a fast exposure leveling and weighted multiband-blending algorithm. The experiments show that our system is able to output novel quality orthophoto with high robustness, and we shared a trial version of our algorithm.<xref ref-type="fn" rid="fn1"><sup>1</sup></xref> |
| first_indexed | 2024-12-19T00:02:59Z |
| format | Article |
| id | doaj.art-91a764af05a54cbfa8461bc7a00605ba |
| institution | Directory Open Access Journal |
| issn | 2151-1535 |
| language | English |
| last_indexed | 2024-12-19T00:02:59Z |
| 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-91a764af05a54cbfa8461bc7a00605ba2022-12-21T20:46:23ZengIEEEIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing2151-15352021-01-0114115001150710.1109/JSTARS.2021.31247459599576HighStitch: High Altitude Georeferenced Aerial Images Stitching for Rocking Telephoto LensYong Zhao0https://orcid.org/0000-0002-0834-1286Shibiao Xu1https://orcid.org/0000-0003-4037-9900Shuhui Bu2https://orcid.org/0000-0002-9853-8313Hongkai Jiang3https://orcid.org/0000-0001-6180-4641Pengcheng Han4Northwestern Polytechnical University, Xi’an, Shaanxi, ChinaSchool of Artificial Intelligence, Beijing University of Posts and Telecommunications, Haidian, Beijing, ChinaNorthwestern Polytechnical University, Xi’an, Shaanxi, ChinaNorthwestern Polytechnical University, Xi’an, Shaanxi, ChinaNorthwestern Polytechnical University, Xi’an, Shaanxi, ChinaA georeferenced orthophoto built from aerial images is the basic resource for various of remote sensing applications. As traditional low flight altitude aerial photographic survey is hard to handle large areas, higher altitude brings better survey efficiency, and a telephoto camera is required to maintain the resolution. Since existed structure from motion (SfM) methods are not suitable to process the low field-of-view images with high altitude, this article presents a novel georeferenced orthophoto stitching solution for telephoto images, which contain both translation and rotation movements. A mission planning strategy is designed to guarantee the consistent quality, according to the flight plan and camera intrinsic parameters. The potential matching topology is obtained by projecting images to the prior ground plan,e and overlap scores are estimated for neighbors query, followed with a feature-based keypoint matching. The ground plane and camera poses are optimized by joint considering feature matches, GPS and gimbal rotation information, while the final orthophoto is fused with a fast exposure leveling and weighted multiband-blending algorithm. The experiments show that our system is able to output novel quality orthophoto with high robustness, and we shared a trial version of our algorithm.<xref ref-type="fn" rid="fn1"><sup>1</sup></xref>https://ieeexplore.ieee.org/document/9599576/Georeferenced orthophoto stitchinghigh altitudematching topologyweighted multiband blending |
| spellingShingle | Yong Zhao Shibiao Xu Shuhui Bu Hongkai Jiang Pengcheng Han HighStitch: High Altitude Georeferenced Aerial Images Stitching for Rocking Telephoto Lens IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Georeferenced orthophoto stitching high altitude matching topology weighted multiband blending |
| title | HighStitch: High Altitude Georeferenced Aerial Images Stitching for Rocking Telephoto Lens |
| title_full | HighStitch: High Altitude Georeferenced Aerial Images Stitching for Rocking Telephoto Lens |
| title_fullStr | HighStitch: High Altitude Georeferenced Aerial Images Stitching for Rocking Telephoto Lens |
| title_full_unstemmed | HighStitch: High Altitude Georeferenced Aerial Images Stitching for Rocking Telephoto Lens |
| title_short | HighStitch: High Altitude Georeferenced Aerial Images Stitching for Rocking Telephoto Lens |
| title_sort | highstitch high altitude georeferenced aerial images stitching for rocking telephoto lens |
| topic | Georeferenced orthophoto stitching high altitude matching topology weighted multiband blending |
| url | https://ieeexplore.ieee.org/document/9599576/ |
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