Customizing Kernel Functions for SVM-Based Hyperspectral Image Classification.
Baofeng GuoSteve R. GunnRobert I. DamperJames D. B. NelsonPublished in: IEEE Trans. Image Process. (2008)
Keyphrases
- kernel function
- hyperspectral image classification
- support vector
- active learning
- support vector machine
- svm classifier
- hyperspectral images
- hyperspectral
- svm classification
- kernel methods
- input space
- feature space
- hyperspectral data
- hyperplane
- support vector machine svm
- kernel learning
- support vectors
- training set
- high dimensional feature space
- kernel matrix
- gaussian kernels
- learning algorithm
- learning tasks
- multispectral
- loss function
- reproducing kernel hilbert space
- original data
- learning process
- hyperspectral imagery
- high dimensional
- kernel matrices
- machine learning
- low rank
- random sampling
- multiple kernel learning
- semi supervised
- classification accuracy
- computer vision