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...
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| Veröffentlicht in: | IEEE journal of selected topics in applied earth observations and remote sensing 2021, Vol.14, p.11500-11507 |
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| container_title | IEEE journal of selected topics in applied earth observations and remote sensing |
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| creator | Zhao, Yong Xu, Shibiao Bu, Shuhui Jiang, Hongkai Han, Pengcheng |
| 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. 1 |
| doi_str_mv | 10.1109/JSTARS.2021.3124745 |
| format | Article |
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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"> 1</description><identifier>ISSN: 1939-1404</identifier><identifier>EISSN: 2151-1535</identifier><identifier>DOI: 10.1109/JSTARS.2021.3124745</identifier><identifier>CODEN: IJSTHZ</identifier><language>eng</language><publisher>Piscataway: IEEE</publisher><subject>Aerial photography ; Algorithms ; Altitude ; Cameras ; Field of view ; Flight ; Flight altitude ; Flight plans ; Geographic information systems ; Georeferenced orthophoto stitching ; Ground plane ; High altitude ; High-altitude environments ; Image reconstruction ; Manifolds ; Matching ; matching topology ; Mission planning ; Motion perception ; Orthophotography ; Pipelines ; Planning ; Polls & surveys ; Remote sensing ; Rotation ; Simultaneous localization and mapping ; Stitching ; Surveying ; Three-dimensional displays ; Topology ; weighted multiband blending</subject><ispartof>IEEE journal of selected topics in applied earth observations and remote sensing, 2021, Vol.14, p.11500-11507</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2021</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c358t-1483631c4963c8c84b5cf350fd0ff42f92c794a3cc4bd4b908ccc7aa48a26d563</cites><orcidid>0000-0001-6180-4641 ; 0000-0002-9853-8313 ; 0000-0003-4037-9900 ; 0000-0002-0834-1286</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,864,2100,4022,27922,27923,27924</link.rule.ids></links><search><creatorcontrib>Zhao, Yong</creatorcontrib><creatorcontrib>Xu, Shibiao</creatorcontrib><creatorcontrib>Bu, Shuhui</creatorcontrib><creatorcontrib>Jiang, Hongkai</creatorcontrib><creatorcontrib>Han, Pengcheng</creatorcontrib><title>HighStitch: High Altitude Georeferenced Aerial Images Stitching for Rocking Telephoto Lens</title><title>IEEE journal of selected topics in applied earth observations and remote sensing</title><addtitle>JSTARS</addtitle><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. 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| subjects | Aerial photography Algorithms Altitude Cameras Field of view Flight Flight altitude Flight plans Geographic information systems Georeferenced orthophoto stitching Ground plane High altitude High-altitude environments Image reconstruction Manifolds Matching matching topology Mission planning Motion perception Orthophotography Pipelines Planning Polls & surveys Remote sensing Rotation Simultaneous localization and mapping Stitching Surveying Three-dimensional displays Topology weighted multiband blending |
| title | HighStitch: High Altitude Georeferenced Aerial Images Stitching for Rocking Telephoto Lens |
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