High-resolution mapping of tree species and associated uncertainty by combining aerial remote sensing data and convolutional neural networks ensemble.
Jean-Daniel SylvainGuillaume DroletÉvelyne ThiffaultFrançois AnctilPublished in: Int. J. Appl. Earth Obs. Geoinformation (2024)
Keyphrases
- remote sensing data
- remote sensing
- convolutional neural networks
- high resolution
- satellite images
- multispectral
- land cover
- remote sensing images
- phylogenetic trees
- change detection
- hyperspectral
- low resolution
- tree structure
- super resolution
- pruning algorithm
- earth observation
- remotely sensed data
- high spatial resolution
- satellite data
- gene trees
- high frequency
- image analysis
- image processing
- convolutional network
- hyperspectral images
- ensemble methods
- lidar data
- high quality
- neural network
- spatial resolution
- hyperspectral imagery
- index structure
- pattern recognition
- feature selection
- urban areas
- geographical information systems
- data sets
- r tree
- data structure
- learning algorithm