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

6 citations as recorded by crossref.

1. A Multisensor UAV Payload and Processing Pipeline for Generating Multispectral Point Clouds M. Vlaminck et al. 10.3390/rs15061524
2. A deep-learning model for semantic segmentation of meshes from UAV oblique images R. Tang et al. 10.1080/01431161.2022.2111665
3. Scalable hybrid adjustment of images and LiDAR point clouds V. Jonassen et al. 10.1016/j.isprsjprs.2023.07.007
4. Building a Fully-Automatized Active Learning Framework for the Semantic Segmentation of Geospatial 3D Point Clouds M. Kölle et al. 10.1007/s41064-024-00281-3
5. Hybrid georeferencing of images and LiDAR data for UAV-based point cloud collection at millimetre accuracy N. Haala et al. 10.1016/j.ophoto.2022.100014
6. Juggling with representations: On the information transfer between imagery, point clouds, and meshes for multi-modal semantics D. Laupheimer & N. Haala 10.1016/j.isprsjprs.2021.03.007