Hyperspectral Image Analysis with Subspace Learning-based One-Class Classification.
Sertac KilickayaMete AhishaliFahad SohrabTurker InceMoncef GabboujPublished in: CoRR (2023)
Keyphrases
- subspace learning
- hyperspectral
- image analysis
- remote sensing
- multispectral
- dimensionality reduction
- hyperspectral images
- target detection
- hyperspectral data
- low dimensional
- data representation
- pattern recognition
- change detection
- hyperspectral imagery
- image data
- satellite images
- infrared
- manifold learning
- principal component analysis
- face recognition
- sparse representation
- hyperspectral remote sensing
- image segmentation
- learning algorithm
- sparse coding
- image processing
- information content
- computer vision
- high dimensional data
- semi supervised
- unsupervised learning
- neural network
- covariance matrix
- linear discriminant analysis
- mutual information
- high resolution
- high dimensional
- feature selection