Geometry-Aware Deep Recurrent Neural Networks for Hyperspectral Image Classification.
Siyuan HaoWei WangMathieu SalzmannPublished in: IEEE Trans. Geosci. Remote. Sens. (2021)
Keyphrases
- recurrent neural networks
- hyperspectral image classification
- active learning
- hyperspectral
- hyperspectral images
- neural network
- feed forward
- reservoir computing
- feedforward neural networks
- echo state networks
- artificial neural networks
- recurrent networks
- neural model
- pattern recognition
- data mining
- cascade correlation
- nonlinear dynamic systems
- hyperspectral data
- random sampling
- genetic algorithm
- hyperspectral imagery
- satellite images
- machine learning
- model selection
- chaotic time series
- image segmentation
- e learning
- learning algorithm