Feature selection of hyperspectral data through local correlation and SFFS for crop classification.
Luis Gómez-ChovaJavier CalpeGustau Camps-VallsJosé David Martín-GuerreroEmilio Soria-OlivasJoan Vila-FrancésLuis Alonso-ChordaJosé MorenoPublished in: IGARSS (2003)
Keyphrases
- hyperspectral data
- feature selection
- hyperspectral
- hyperspectral images
- classification accuracy
- hyperspectral imagery
- machine learning
- multispectral
- feature extraction
- text classification
- feature selection algorithms
- random projections
- pattern recognition
- support vector
- remote sensing
- infrared
- feature subset
- sequential forward
- mutual information
- dimensionality reduction
- support vector machine
- text categorization
- high dimensionality
- feature space
- support vector machine svm
- svm classifier
- knn
- data sets
- image representation
- computer vision
- image processing
- feature subset selection
- training data
- feature vectors
- dimension reduction
- feature set
- microarray