SuperPCA: A Superpixelwise PCA Approach for Unsupervised Feature Extraction of Hyperspectral Imagery.
Junjun JiangJiayi MaChen ChenZhongyuan WangZhihua CaiLizhe WangPublished in: IEEE Trans. Geosci. Remote. Sens. (2018)
Keyphrases
- hyperspectral imagery
- feature extraction
- principal component analysis
- discriminant projection
- hyperspectral data
- multispectral
- subspace projection
- dimensionality reduction
- remote sensing
- hyperspectral
- hyperspectral images
- target detection
- principle component analysis
- face recognition
- linear discriminant analysis
- spatial resolution
- dimension reduction
- image processing
- feature space
- high dimensional feature space
- principal components
- discriminant analysis
- independent component analysis
- semi supervised
- change detection
- face images
- dimensionality reduction methods
- support vector machine svm
- wavelet transform
- pattern recognition
- image analysis
- feature vectors
- gabor wavelets
- machine learning
- infrared
- high dimensional
- video sequences
- multiresolution
- image segmentation
- gabor features
- false alarms
- feature set
- high speed
- frequency domain
- low dimensional