Multiscale Superpixel-Based Hyperspectral Image Classification Using Recurrent Neural Networks With Stacked Autoencoders.
Cheng ShiChi-Man PunPublished in: IEEE Trans. Multim. (2020)
Keyphrases
- recurrent neural networks
- hyperspectral image classification
- multiscale
- superpixels
- feedforward neural networks
- active learning
- hyperspectral
- hyperspectral images
- hidden layer
- denoising
- feed forward
- neural network
- artificial neural networks
- image processing
- edge detection
- echo state networks
- recurrent networks
- reservoir computing
- image segmentation
- hyperspectral data
- wavelet domain
- wavelet transform
- neural model
- decision trees
- multispectral
- image representation
- machine learning
- hyperspectral imagery
- remote sensing
- infrared
- nonlinear dynamic systems
- cascade correlation
- target detection
- chaotic time series
- expert systems
- data sets
- image data