Effect of feature extraction and classification method on hyperspectral image classification accuracy.
Ahmed AlraimiSarp ErtürkPublished in: SIU (2016)
Keyphrases
- classification method
- hyperspectral images
- feature extraction
- classification accuracy
- selected features
- support vector machine svm
- feature selection
- hyperspectral
- k nearest neighbor
- knn
- kernel principal component analysis
- text classification
- feature space
- hyperspectral imagery
- support vector machine
- remote sensing
- feature set
- hyperspectral imaging
- classification algorithm
- hyperspectral image classification
- feature vectors
- image processing
- frequency domain
- face recognition
- target detection
- support vector
- wavelet transform
- text categorization
- multispectral
- pattern recognition
- principal component analysis
- spectral signatures
- hyperspectral data
- discriminant analysis
- naive bayes
- extracted features
- training set
- training data
- knowledge discovery
- learning algorithm
- natural language processing
- information retrieval
- dimensionality reduction
- machine learning