Predicting Vegetation Stratum Occupancy from Airborne LiDAR Data with Deep Learning.
Ekaterina KalinichevaLoïc LandrieuClément MalletNesrine ChehataPublished in: Int. J. Appl. Earth Obs. Geoinformation (2022)
Keyphrases
- lidar data
- deep learning
- urban areas
- urban environments
- high resolution
- unsupervised learning
- point cloud
- remote sensing
- satellite images
- aerial images
- hyperspectral imagery
- machine learning
- travel time
- weakly supervised
- mental models
- watershed segmentation
- change detection
- geographic information systems
- remote sensing images
- semi supervised
- topic models