Hyperspectral data analysis and supervised feature reduction via projection pursuit.
Luis O. JimenezDavid A. LandgrebePublished in: IEEE Trans. Geosci. Remote. Sens. (1999)
Keyphrases
- hyperspectral
- feature reduction
- data analysis
- rough sets
- feature selection
- hyperspectral images
- remote sensing
- rough set theory
- multispectral
- infrared
- text categorization
- random forest
- target detection
- hyperspectral data
- hyperspectral imagery
- data mining
- reduction method
- image data
- hyperspectral remote sensing
- linear discriminant analysis
- classification accuracy
- feature set
- machine learning
- texture segmentation
- supervised learning
- satellite images
- semi supervised
- learning algorithm
- unsupervised learning
- knn
- information content
- support vector machine
- high dimensional data
- change detection
- knowledge discovery
- principal component analysis
- dynamic programming
- feature extraction
- support vector
- high resolution
- viterbi algorithm
- active learning
- mutual information
- image processing
- feature vectors
- graph cuts
- classification algorithm
- data points
- image features