Techniques and Applications of UAV-Based Photogrammetric 3D Mapping
The book focuses on the techniques for UAV-based 3D mapping and its applications in varying fields since the explosive development of UAV-based photogrammetric 3D mapping and their wide applications from traditional surveying and mapping to other related fields have been witnessed in photogrammetry...
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| Format: | Online |
|---|---|
| Langue: | anglais |
| Publié: |
2022
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| Sujets: | |
| Accès en ligne: | ONIX_20220916_9783036550671_131 |
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| _version_ | 1869525155320954880 |
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| collection | Directory of Open Access Books |
| description | The book focuses on the techniques for UAV-based 3D mapping and its applications in varying fields since the explosive development of UAV-based photogrammetric 3D mapping and their wide applications from traditional surveying and mapping to other related fields have been witnessed in photogrammetry and remote sensing. In the last decade, unmanned aerial vehicle (UAV) images have become one of the most important remote sensing data sources for photogrammetric 3D mapping. Besides, the rapid development of recent techniques, e.g., SfM (Structure from Motion) for off-line image orientation, SLAM (Simultaneous Localization and Mapping) for on-line UAV navigation, and the deep learning (DL) embedded 3D reconstruction pipeline, has promoted UAV-based 3D mapping towards the direction of automation and intelligence. It is really worthy to collecting the cutting-edge techniques and reporting their promising applications. |
| format | Online |
| id | doab-20.500.12854ir-92145 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| record_format | ojs |
| spelling | doab-20.500.12854ir-921452024-04-09T23:16:12Z Techniques and Applications of UAV-Based Photogrammetric 3D Mapping Jiang, Wanshou Jiang, San Xiao, Xiongwu compound building reconstruction LiDAR point clouds semantic decomposition structure from motion match pair cycle consistency inference repetitive structure very short baseline high-resolution remote sensing images building extraction multiscale features aggregate semantic information feature pyramid spatial eight-quadrant kernel convolution 3D point cloud semantic segmentation indoor scene wide-baseline stereo image deep learning convolutional neural network affine invariant feature image matching photogrammetric mesh model building façade 3D reconstruction least square fitting single image super-resolution lightweight image super-resolution U-shaped residual network dense shortcut effective feature distillation high-frequency loss power lines UAV inspection red-black propagation depth map fusion PatchMatch digital photogrammetry camera self-calibration Brown model polynomial model aerial triangulation GF-7 image building footprint building height multi-view point cloud multi-view reconstruction detail preserving depth estimation surface meshing texture mapping coplanar extraction deep convolutional neural network geometric topology homography matrix airborne LiDAR coal mine surface subsidence deformation detection digital subsidence model n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology The book focuses on the techniques for UAV-based 3D mapping and its applications in varying fields since the explosive development of UAV-based photogrammetric 3D mapping and their wide applications from traditional surveying and mapping to other related fields have been witnessed in photogrammetry and remote sensing. In the last decade, unmanned aerial vehicle (UAV) images have become one of the most important remote sensing data sources for photogrammetric 3D mapping. Besides, the rapid development of recent techniques, e.g., SfM (Structure from Motion) for off-line image orientation, SLAM (Simultaneous Localization and Mapping) for on-line UAV navigation, and the deep learning (DL) embedded 3D reconstruction pipeline, has promoted UAV-based 3D mapping towards the direction of automation and intelligence. It is really worthy to collecting the cutting-edge techniques and reporting their promising applications. 2022-09-16T13:48:18Z 2022-09-16T13:48:18Z 2022 book ONIX_20220916_9783036550671_131 9783036550671 9783036550688 https://directory.doabooks.org/handle/20.500.12854/92145 eng application/octet-stream Attribution 4.0 International https://mdpi.com/books/pdfview/book/6022 https://mdpi.com/books/pdfview/book/6022 10.3390/books978-3-0365-5068-8 10.3390/books978-3-0365-5068-8 MDPI - Multidisciplinary Digital Publishing Institute 9783036550671 9783036550688 294 Basel open access |
| spellingShingle | compound building reconstruction LiDAR point clouds semantic decomposition structure from motion match pair cycle consistency inference repetitive structure very short baseline high-resolution remote sensing images building extraction multiscale features aggregate semantic information feature pyramid spatial eight-quadrant kernel convolution 3D point cloud semantic segmentation indoor scene wide-baseline stereo image deep learning convolutional neural network affine invariant feature image matching photogrammetric mesh model building façade 3D reconstruction least square fitting single image super-resolution lightweight image super-resolution U-shaped residual network dense shortcut effective feature distillation high-frequency loss power lines UAV inspection red-black propagation depth map fusion PatchMatch digital photogrammetry camera self-calibration Brown model polynomial model aerial triangulation GF-7 image building footprint building height multi-view point cloud multi-view reconstruction detail preserving depth estimation surface meshing texture mapping coplanar extraction deep convolutional neural network geometric topology homography matrix airborne LiDAR coal mine surface subsidence deformation detection digital subsidence model n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology Techniques and Applications of UAV-Based Photogrammetric 3D Mapping |
| title | Techniques and Applications of UAV-Based Photogrammetric 3D Mapping |
| title_full | Techniques and Applications of UAV-Based Photogrammetric 3D Mapping |
| title_fullStr | Techniques and Applications of UAV-Based Photogrammetric 3D Mapping |
| title_full_unstemmed | Techniques and Applications of UAV-Based Photogrammetric 3D Mapping |
| title_short | Techniques and Applications of UAV-Based Photogrammetric 3D Mapping |
| title_sort | techniques and applications of uav based photogrammetric 3d mapping |
| topic | compound building reconstruction LiDAR point clouds semantic decomposition structure from motion match pair cycle consistency inference repetitive structure very short baseline high-resolution remote sensing images building extraction multiscale features aggregate semantic information feature pyramid spatial eight-quadrant kernel convolution 3D point cloud semantic segmentation indoor scene wide-baseline stereo image deep learning convolutional neural network affine invariant feature image matching photogrammetric mesh model building façade 3D reconstruction least square fitting single image super-resolution lightweight image super-resolution U-shaped residual network dense shortcut effective feature distillation high-frequency loss power lines UAV inspection red-black propagation depth map fusion PatchMatch digital photogrammetry camera self-calibration Brown model polynomial model aerial triangulation GF-7 image building footprint building height multi-view point cloud multi-view reconstruction detail preserving depth estimation surface meshing texture mapping coplanar extraction deep convolutional neural network geometric topology homography matrix airborne LiDAR coal mine surface subsidence deformation detection digital subsidence model n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| topic_facet | compound building reconstruction LiDAR point clouds semantic decomposition structure from motion match pair cycle consistency inference repetitive structure very short baseline high-resolution remote sensing images building extraction multiscale features aggregate semantic information feature pyramid spatial eight-quadrant kernel convolution 3D point cloud semantic segmentation indoor scene wide-baseline stereo image deep learning convolutional neural network affine invariant feature image matching photogrammetric mesh model building façade 3D reconstruction least square fitting single image super-resolution lightweight image super-resolution U-shaped residual network dense shortcut effective feature distillation high-frequency loss power lines UAV inspection red-black propagation depth map fusion PatchMatch digital photogrammetry camera self-calibration Brown model polynomial model aerial triangulation GF-7 image building footprint building height multi-view point cloud multi-view reconstruction detail preserving depth estimation surface meshing texture mapping coplanar extraction deep convolutional neural network geometric topology homography matrix airborne LiDAR coal mine surface subsidence deformation detection digital subsidence model n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| url | ONIX_20220916_9783036550671_131 |