Attention-Based Residual Network with Scattering Transform Features for Hyperspectral Unmixing with Limited Training Samples.
Yiliang ZengChristian RitzJiahong ZhaoJinhui LanPublished in: Remote. Sens. (2020)
Keyphrases
- hyperspectral
- training samples
- hyperspectral images
- feature space
- hyperspectral data
- multispectral
- remote sensing
- information content
- spectral bands
- infrared
- hyperspectral imagery
- training set
- classification accuracy
- image data
- high dimensional
- supervised learning
- hyperspectral remote sensing
- test sample
- feature set
- learning algorithm
- feature vectors
- target detection
- feature extraction
- training data
- satellite images
- dimensionality reduction
- machine learning
- computer vision
- high dimensionality
- image processing
- nonnegative matrix factorization
- feature selection
- reinforcement learning
- svm classifier
- database
- data sets