Unsupervised Feature Learning Using Recurrent Neural Nets for Segmenting Hyperspectral Images.
Lukasz TulczyjewMichal KawulokJakub NalepaPublished in: IEEE Geosci. Remote. Sens. Lett. (2021)
Keyphrases
- neural nets
- hyperspectral images
- unsupervised feature learning
- feed forward
- deep learning
- higher order
- hyperspectral
- back propagation
- remote sensing
- artificial neural networks
- hyperspectral data
- neural network
- multispectral
- learning tasks
- image segmentation
- target detection
- machine learning
- similarity measure
- unsupervised learning
- segmentation method
- image data
- change detection
- pairwise
- pattern recognition
- image processing
- data sets