Land Cover Classification via Multitemporal Spatial Data by Deep Recurrent Neural Networks.
Dino IencoRaffaele GaetanoClaire DupaquierPierre MaurelPublished in: IEEE Geosci. Remote. Sens. Lett. (2017)
Keyphrases
- recurrent neural networks
- spatial data
- land cover classification
- multispectral
- remote sensing
- land cover
- change detection
- remotely sensed images
- remote sensing imagery
- geographic information systems
- remote sensing images
- high spatial resolution
- satellite images
- spatial data mining
- spatial databases
- remote sensing data
- neural network
- feed forward
- hyperspectral
- multispectral images
- image analysis
- image data
- satellite data
- supervised classification
- r tree
- data analysis
- spatial resolution
- satellite imagery
- artificial neural networks
- spatial database systems
- echo state networks
- spatial relationships
- spatial objects
- high resolution
- geographical information systems
- database management systems
- semi supervised
- query processing
- data streams
- image sequences
- image processing
- data mining