Feature Selection for Hyperspectral Data based on Modified Recursive Support Vector Machines.
Rui ZhangJianwen MaXue ChenQingxi TongPublished in: IGARSS (2) (2009)
Keyphrases
- support vector
- feature selection
- hyperspectral data
- hyperspectral
- hyperspectral images
- hyperspectral imagery
- random projections
- support vector machine
- multispectral
- classification accuracy
- infrared
- text categorization
- remote sensing
- mutual information
- kernel function
- high dimensionality
- text classification
- machine learning
- dimensionality reduction
- svm classifier
- dimension reduction
- kernel methods
- feature space
- unsupervised learning
- feature extraction
- target detection
- high quality
- data compression
- linear discriminant analysis
- feature set
- principal components
- satellite images
- support vectors
- data sets
- training data
- computer vision
- image compression