Predicting Vegetation Stratum Occupancy from Airborne LiDAR Data with Deep Learning.
Ekaterina KalinichevaLoïc LandrieuClément MalletNesrine ChehataPublished in: CoRR (2022)
Keyphrases
- lidar data
- deep learning
- urban areas
- urban environments
- high resolution
- unsupervised learning
- remote sensing
- point cloud
- machine learning
- hyperspectral imagery
- watershed segmentation
- remote sensing images
- weakly supervised
- travel time
- satellite images
- mental models
- image data
- image analysis
- data analysis
- image sequences