FPGA Acceleration of a Composite Kernel SVM for Hyperspectral Image Classification.
Kento TajiriTsutomu MaruyamaPublished in: IEEE Access (2023)
Keyphrases
- hyperspectral image classification
- support vector
- kernel function
- kernel methods
- active learning
- kernel space
- hyperspectral images
- hyperspectral
- kernel parameters
- rbf kernel
- support vector machine
- feature space
- decision function
- kernel machines
- support vector machine svm
- svm classification
- polynomial kernels
- gaussian kernel
- svm classifier
- hardware implementation
- support vectors
- multiple kernel learning
- high speed
- linear svm
- knn
- signal processing
- field programmable gate array
- histogram intersection kernel
- kernel pca
- reproducing kernel hilbert space
- hyperplane
- feature selection
- hyperspectral imagery
- feature vectors
- feature extraction
- machine learning
- target detection
- ls svm
- input space
- linear discriminant analysis
- multispectral
- image classification
- hyperspectral data
- computer vision
- learning algorithm
- data sets