ContrastNet: Unsupervised feature learning by autoencoder and prototypical contrastive learning for hyperspectral imagery classification.
Zeyu CaoXiaorun LiYueming FengShuhan ChenChaoqun XiaLiaoying ZhaoPublished in: Neurocomputing (2021)
Keyphrases
- hyperspectral imagery
- unsupervised feature learning
- learning algorithm
- hyperspectral images
- supervised learning
- deep learning
- unsupervised learning
- hyperspectral data
- pattern recognition
- machine learning
- face recognition
- support vector machine
- higher order
- target detection
- image segmentation
- multi band
- feature selection