Encoding Geospatial Vector Data for Deep Learning: LULC as a Use Case.
Marvin Mc CutchanIoannis GiannopoulosPublished in: Remote. Sens. (2022)
Keyphrases
- deep learning
- vector data
- geospatial data
- land cover
- spatial data
- satellite imagery
- geographic information systems
- remote sensing images
- unsupervised learning
- change detection
- machine learning
- remote sensing
- multispectral
- aerial images
- data collection
- image space
- weakly supervised
- satellite images
- data processing
- spatial databases
- data management
- data sources
- urban areas
- r tree
- multiple sources
- mental models
- supervised classification
- heterogeneous data
- data analysis
- lossy compression
- multiscale
- learning algorithm
- feature selection
- similarity measure
- spatial objects
- image quality