Urban Land-Use and Land-Cover Mapping Based on the Classification of Transport Demand and Remote Sensing Data.
Chiara TacconiMaria Pia TuscanoGabriele MoserNicola SaccoPublished in: IGARSS (2020)
Keyphrases
- land cover
- remote sensing data
- land cover classification
- urban growth
- supervised classification
- remote sensing
- multispectral
- remotely sensed data
- remotely sensed
- remote sensing images
- change detection
- remote sensing imagery
- urban areas
- remotely sensed images
- satellite images
- landsat tm
- climate change
- geographic information systems
- satellite data
- supervised learning
- high spatial resolution
- hyperspectral
- data sets
- machine learning
- earth science
- pattern recognition
- urban planning
- neural network
- learning algorithm
- image processing
- decision trees
- feature extraction
- data streams
- image analysis
- high resolution
- data warehouse
- image classification
- hyperspectral images
- unsupervised learning