Unsupervised deep learning of landscape typologies from remote sensing images and other continuous spatial data.
Maarten van StrienAdrienne Grêt-RegameyPublished in: Environ. Model. Softw. (2022)
Keyphrases
- deep learning
- remote sensing images
- spatial data
- unsupervised learning
- geographical information systems
- deep architectures
- remote sensing
- weakly supervised
- multispectral
- change detection
- spatial data mining
- spatial databases
- remotely sensed images
- geographic information systems
- machine learning
- r tree
- geospatial data
- supervised learning
- satellite images
- land cover
- semi supervised
- remote sensing data
- vector data
- spatial queries
- multispectral images
- spatial objects
- location based services
- supervised classification
- image processing
- text classification
- data analysis
- hyperspectral
- dimensionality reduction
- mental models
- object class
- image analysis
- data mining
- pattern recognition
- high resolution
- image registration
- feature selection
- topic models
- decision makers