HYBRID GEOREFERENCING, ENHANCEMENT AND CLASSIFICATION OF ULTRA-HIGH RESOLUTION UAV LIDAR AND IMAGE POINT CLOUDS FOR MONITORING APPLICATIONS

11 citations as recorded by crossref.

1. An automated system for 2D building detection from UAV-based geospatial datasets A. Elaksher et al. https://doi.org/10.1016/j.optlaseng.2024.108602
2. A Multisensor UAV Payload and Processing Pipeline for Generating Multispectral Point Clouds M. Vlaminck et al. https://doi.org/10.3390/rs15061524
3. A deep-learning model for semantic segmentation of meshes from UAV oblique images R. Tang et al. https://doi.org/10.1080/01431161.2022.2111665
4. Scalable hybrid adjustment of images and LiDAR point clouds V. Jonassen et al. https://doi.org/10.1016/j.isprsjprs.2023.07.007
5. Hybrid georeferencing of images and LiDAR data for UAV-based point cloud collection at millimetre accuracy N. Haala et al. https://doi.org/10.1016/j.ophoto.2022.100014
6. APPLICATION OF AN INTEGRATED APPROACH TO GEOSPATIAL DATA ACQUISITION BASED ON A COMBINATION OF AERIAL PHOTOGRAPHY, LIDAR TECHNOLOGIES AND GROUND-BASED LASER SCANNING M. Toguzova et al. https://doi.org/10.51885/3134-8009_JES_2026_2_13
7. UseGeo - A UAV-based multi-sensor dataset for geospatial research F. Nex et al. https://doi.org/10.1016/j.ophoto.2024.100070
8. Aerial Hybrid Adjustment of LiDAR Point Clouds, Frame Images, and Linear Pushbroom Images V. Jonassen et al. https://doi.org/10.3390/rs16173179
9. Building a Fully-Automatized Active Learning Framework for the Semantic Segmentation of Geospatial 3D Point Clouds M. Kölle et al. https://doi.org/10.1007/s41064-024-00281-3
10. Juggling with representations: On the information transfer between imagery, point clouds, and meshes for multi-modal semantics D. Laupheimer & N. Haala https://doi.org/10.1016/j.isprsjprs.2021.03.007
11. Aerial LiDAR and Imaging Based Earth Surface Digitization and Data Characteristics Comparison C. Altuntas https://doi.org/10.2478/jaes-2024-0022