Hyperspectral and LiDAR Data for the Prediction via Machine Learning of Tree Species, Volume and Biomass: A Contribution for Updating Forest Management Plans.
Daniele MicheliniMichele DalponteAngelo CarrieroErico KutcharttSalvatore Eugenio PappalardoMassimo De MarchiFrancesco PirottiPublished in: ASITA (2022)
Keyphrases
- hyperspectral
- hyperspectral imagery
- lidar data
- machine learning
- remote sensing
- hyperspectral images
- multispectral
- hyperspectral data
- target detection
- infrared
- spatial resolution
- image data
- high resolution
- change detection
- point cloud
- satellite images
- information content
- urban areas
- urban environments
- multi band
- pattern recognition
- feature selection
- dimensionality reduction
- support vector machine
- high dimensional
- computer vision