Improved Support Vector Machine Enabled Radial Basis Function and Linear Variants for Remote Sensing Image Classification.
Abdul RazaqueMohamed Ben Haj FrejMuder AlmianiMunif AlotaibiBandar AlotaibiPublished in: Sensors (2021)
Keyphrases
- radial basis function
- remote sensing
- support vector machine
- image classification
- remotely sensed data
- rbf neural network
- hyperspectral remote sensing
- rbf network
- change detection
- remote sensing images
- support vector
- multispectral
- support vector machine svm
- remote sensing imagery
- artificial neural networks
- satellite images
- image processing
- image analysis
- high resolution
- svm classifier
- neural network
- rbf kernel
- remote sensing data
- hyperspectral
- image fusion
- land cover
- remotely sensed
- basis functions
- satellite data
- digital image analysis
- automatic image registration
- feature extraction
- feature selection
- hyperspectral images
- training data
- remotely sensed images
- earth observation
- remote sensed images
- sequential minimal optimization
- image features
- feature vectors
- pattern recognition
- earth science
- kernel function
- k nearest neighbor
- training set
- computer vision
- machine learning
- data mining