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

11 citations as recorded by crossref.

1. Tree, Shrub, and Grass Classification Using Only RGB Images B. Ayhan & C. Kwan
2. An Accurate Vegetation and Non-Vegetation Differentiation Approach Based on Land Cover Classification C. Kwan et al.
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.
4. Testing UAV-derived topography for hydraulic modelling in a tropical environment M. Mazzoleni et al.
5. Digital Deforestation: Comparing Automated Approaches to the Production of Digital Terrain Models (DTMs) in Agisoft Metashape M. Howland et al.
6. A Review of the Challenges of Using Deep Learning Algorithms to Support Decision-Making in Agricultural Activities K. Alibabaei et al.
7. Vegetation Detection Using Deep Learning and Conventional Methods B. Ayhan et al.
8. Individual Tree Canopy Parameters Estimation Using UAV-Based Photogrammetric and LiDAR Point Clouds in an Urban Park E. Ghanbari Parmehr & M. Amati
9. Using Unmanned Aerial Vehicle and LiDAR-Derived DEMs to Estimate Channels of Small Tributary Streams J. Grau et al.
10. Advanced Techniques in Agricultural Drone Applications: Multispectral Imaging, Thermal Analysis, Precision Landing, and Customized Pulley Systems for Enhanced Remote Sensing B. Gang
11. UAS-Based Archaeological Remote Sensing: Review, Meta-Analysis and State-of-the-Art E. Adamopoulos & F. Rinaudo