Non-Uniform Random Feature Selection and Kernel Density Scoring With SVM Based Ensemble Classification for Hyperspectral Image Analysis.
Sathishkumar SamiappanSaurabh PrasadLori M. BrucePublished in: IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. (2013)
Keyphrases
- ensemble classification
- hyperspectral
- kernel density
- image analysis
- remote sensing
- multispectral
- feature selection
- hyperspectral images
- ensemble classifier
- support vector machine
- mean shift
- infrared
- support vector
- hyperspectral imagery
- hyperspectral data
- ensemble methods
- image data
- change detection
- satellite images
- hidden markov models
- concept drift
- ensemble learning
- pattern recognition
- image processing
- image segmentation
- multi class
- information content
- active learning
- feature space
- text classification
- prediction accuracy
- text categorization
- knn
- neural network
- svm classifier
- support vector machine svm
- image fusion
- data sets
- mutual information
- feature set
- object detection
- image registration
- classification accuracy
- computer vision
- machine learning