DEEP LEARNING FOR MONOCULAR DEPTH ESTIMATION FROM UAV IMAGES

5 citations as recorded by crossref.

1. Deep Learning of Monocular Depth, Optical Flow and Ego-Motion with Geometric Guidance for Uav Navigation in Dynamic Environments F. Mumuni et al. https://doi.org/10.2139/ssrn.4122364
2. Deep learning of monocular depth, optical flow and ego-motion with geometric guidance for UAV navigation in dynamic environments F. Mumuni et al. https://doi.org/10.1016/j.mlwa.2022.100416
3. TanDepth: Leveraging Global DEMs for Metric Monocular Depth Estimation in UAVs H. Florea & S. Nedevschi https://doi.org/10.1109/JSTARS.2025.3531984
4. Generating impact maps from bomb craters automatically detected in aerial wartime images using marked point processes C. Kruse et al. https://doi.org/10.1016/j.ophoto.2022.100017
5. MAMHESet: A Multiangle Monocular Height Estimation Dataset From Luojia3-01 Video Satellite X. Wang et al. https://doi.org/10.1109/JSTARS.2025.3619080