TY - BOOK ID - 138922505 TI - Techniques and Applications of UAV-Based Photogrammetric 3D Mapping AU - Jiang, Wanshou AU - Jiang, San AU - Xiao, Xiongwu PY - 2022 PB - Basel MDPI Books DB - UniCat KW - compound building reconstruction KW - LiDAR KW - point clouds KW - semantic decomposition KW - structure from motion KW - match pair KW - cycle consistency inference KW - repetitive structure KW - very short baseline KW - high-resolution remote sensing images KW - building extraction KW - multiscale features KW - aggregate semantic information KW - feature pyramid KW - spatial eight-quadrant kernel convolution KW - 3D point cloud KW - semantic segmentation KW - indoor scene KW - wide-baseline stereo image KW - deep learning KW - convolutional neural network KW - affine invariant feature KW - image matching KW - photogrammetric mesh model KW - building façade KW - 3D reconstruction KW - least square fitting KW - single image super-resolution KW - lightweight image super-resolution KW - U-shaped residual network KW - dense shortcut KW - effective feature distillation KW - high-frequency loss KW - power lines KW - UAV inspection KW - red-black propagation KW - depth map fusion KW - PatchMatch KW - digital photogrammetry KW - camera self-calibration KW - Brown model KW - polynomial model KW - aerial triangulation KW - GF-7 image KW - building footprint KW - building height KW - multi-view KW - point cloud KW - multi-view reconstruction KW - detail preserving KW - depth estimation KW - surface meshing KW - texture mapping KW - coplanar extraction KW - deep convolutional neural network KW - geometric topology KW - homography matrix KW - airborne LiDAR KW - coal mine KW - surface subsidence KW - deformation detection KW - digital subsidence model KW - n/a KW - building façade UR - https://www.unicat.be/uniCat?func=search&query=sysid:138922505 AB - 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. ER -