VEGETATION REMOVAL FROM UAV DERIVED DSMS, USING COMBINATION OF RGB AND NIR IMAGERY

8 citations as recorded by crossref.

1. Using unmanned aerial systems and deep learning for agriculture mapping in Dubai L. El Hoummaidi et al. 10.1016/j.heliyon.2021.e08154
2. Tree, Shrub, and Grass Classification Using Only RGB Images B. Ayhan & C. Kwan 10.3390/rs12081333
3. The Suitability of UAV-Derived DSMs and the Impact of DEM Resolutions on Rockfall Numerical Simulations: A Case Study of the Bouanane Active Scarp, Tétouan, Northern Morocco A. Bounab et al. 10.3390/rs14246205
4. Testing UAV-derived topography for hydraulic modelling in a tropical environment M. Mazzoleni et al. 10.1007/s11069-020-03963-4
5. UAS-Based Archaeological Remote Sensing: Review, Meta-Analysis and State-of-the-Art E. Adamopoulos & F. Rinaudo 10.3390/drones4030046
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7. Vegetation Detection Using Deep Learning and Conventional Methods B. Ayhan et al. 10.3390/rs12152502
8. Individual Tree Canopy Parameters Estimation Using UAV-Based Photogrammetric and LiDAR Point Clouds in an Urban Park E. Ghanbari Parmehr & M. Amati 10.3390/rs13112062