GPU-Accelerated CatBoost-Forest for Hyperspectral Image Classification Via Parallelized mRMR Ensemble Subspace Feature Selection.
Alim SamatErzhu LiPeijun DuSicong LiuJunshi XiaPublished in: IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. (2021)
Keyphrases
- gpu accelerated
- feature selection
- hyperspectral image classification
- feature selection algorithms
- feature space
- minimum redundancy
- dimensionality reduction
- hyperspectral
- hyperspectral images
- active learning
- feature subspace
- feature extraction
- finite element
- real time
- mutual information
- principal component analysis
- classification accuracy
- support vector
- high dimensionality
- ensemble methods
- subspace methods
- lower dimensional
- machine learning
- feature subset
- low dimensional
- high dimensional
- multispectral
- high dimensional data
- sequence alignment
- learning algorithm
- training set
- feature set
- neural network
- training data
- pairwise
- support vector machine