Branch and bound based feature elimination for support vector machine based classification of hyperspectral images.
Sathishkumar SamiappanSaurabh PrasadLori M. BruceEric A. HansenPublished in: IGARSS (2011)
Keyphrases
- hyperspectral images
- branch and bound
- hyperspectral data
- hyperspectral
- branch and bound algorithm
- lower bound
- optimal solution
- feature elimination
- upper bound
- hyperspectral imagery
- search algorithm
- search space
- remote sensing
- classification accuracy
- benchmark datasets
- multispectral
- support vector machine svm
- support vector
- pattern recognition
- branch and bound procedure
- machine learning
- data sets
- feature vectors
- feature extraction
- target detection
- image segmentation
- feature selection