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

9 citations as recorded by crossref.

1. An automated system for 2D building detection from UAV-based geospatial datasets A. Elaksher et al. 10.1016/j.optlaseng.2024.108602
2. A Multisensor UAV Payload and Processing Pipeline for Generating Multispectral Point Clouds M. Vlaminck et al. 10.3390/rs15061524
3. A deep-learning model for semantic segmentation of meshes from UAV oblique images R. Tang et al. 10.1080/01431161.2022.2111665
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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
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7. Aerial Hybrid Adjustment of LiDAR Point Clouds, Frame Images, and Linear Pushbroom Images V. Jonassen et al. 10.3390/rs16173179
8. 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
9. 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