Hyperspectral Unmixing Using Orthogonal Sparse Prior-Based Autoencoder With Hyper-Laplacian Loss and Data-Driven Outlier Detection.
Zeyang DouKun GaoXiaodian ZhangHong WangJunwei WangPublished in: IEEE Trans. Geosci. Remote. Sens. (2020)
Keyphrases
- outlier detection
- hyperspectral
- hyperspectral images
- hyperspectral data
- remote sensing
- multispectral
- infrared
- target detection
- hyperspectral imagery
- random projections
- spatial resolution
- image data
- knowledge discovery
- detection algorithm
- hyperspectral remote sensing
- information content
- density ratio estimation
- hyperspectral imaging
- detecting outliers
- spectral bands
- pixel classification
- data streams
- spectral signatures
- data mining
- high dimensional
- detect outliers
- change detection
- satellite images
- low dimensional
- image analysis
- machine learning
- multispectral images
- database
- active learning
- high resolution
- training data
- face recognition
- databases