SELF-SUPERVISED LEARNING FOR MONOCULAR DEPTH ESTIMATION FROM AERIAL IMAGERY

8 citations as recorded by crossref.

1. Self-Supervised Monocular Depth Estimation Using Global and Local Mixed Multi-Scale Feature Enhancement Network for Low-Altitude UAV Remote Sensing R. Chang et al. 10.3390/rs15133275
2. Dynamic Semantically Guided Monocular Depth Estimation for UAV Environment Perception V. Miclea & S. Nedevschi 10.1109/TGRS.2023.3345475
3. Attention-Based Monocular Depth Estimation Considering Global and Local Information in Remote Sensing Images J. Lv et al. 10.3390/rs16030585
4. Toward Mass Video Data Analysis: Interactive and Immersive 4D Scene Reconstruction M. Kraus et al. 10.3390/s20185426
5. Data-driven structural damage monitoring and assessment based on unmanned aerial vehicle images: a survey Z. Yang et al. 10.1080/17538947.2025.2528617
6. UseGeo - A UAV-based multi-sensor dataset for geospatial research F. Nex et al. 10.1016/j.ophoto.2024.100070
7. Self-Supervised Learning in Remote Sensing: A review Y. Wang et al. 10.1109/MGRS.2022.3198244
8. Self-supervised monocular depth estimation from oblique UAV videos L. Madhuanand et al. 10.1016/j.isprsjprs.2021.03.024