Spectral-Spatial and Superpixelwise Unsupervised Linear Discriminant Analysis for Feature Extraction and Classification of Hyperspectral Images.
Pengyu LuXinwei JiangYongshan ZhangXiaobo LiuZhihua CaiJunjun JiangAntonio PlazaPublished in: IEEE Trans. Geosci. Remote. Sens. (2023)
Keyphrases
- hyperspectral images
- linear discriminant analysis
- feature extraction and classification
- feature extraction
- hyperspectral
- hyperspectral imagery
- discriminant analysis
- face recognition
- hyperspectral data
- dimensionality reduction
- dimension reduction
- principal component analysis
- remote sensing
- pattern recognition
- feature space
- texture classification
- support vector machine svm
- multispectral
- spatial information
- subspace methods
- unsupervised learning
- principal components analysis
- support vector
- high dimensional data
- image processing
- multispectral images
- feature vectors
- infrared
- target detection
- preprocessing
- feature selection
- image classification
- image analysis
- data sets
- recognition rate
- training set
- principle component analysis
- machine learning