Deep Recurrent Neural Networks for Land-Cover Classification Using Sentinel-1 INSAR Time Series.
Shaojia GeOleg AntropovWeimin SuHong GuJaan PraksPublished in: IGARSS (2019)
Keyphrases
- recurrent neural networks
- land cover classification
- remote sensing data
- chaotic time series
- multispectral
- echo state networks
- supervised classification
- remote sensing
- neural network
- land cover
- feed forward
- remote sensing imagery
- high spatial resolution
- hyperspectral
- recurrent networks
- artificial neural networks
- reservoir computing
- neural model
- sar images
- nonlinear dynamic systems
- satellite data
- remote sensing images
- multispectral images
- spatial resolution
- expert systems
- image segmentation
- synthetic aperture radar
- satellite images
- unsupervised learning
- high quality
- decision making
- cascade correlation
- genetic algorithm