A Fuzzy-Statistics-Based Principal Component Analysis (FS-PCA) Method for Multispectral Image Enhancement and Display.
Chen YangLaijun LuHeping LinRenchu GuanXiaohu ShiYanchun LiangPublished in: IEEE Trans. Geosci. Remote. Sens. (2008)
Keyphrases
- image enhancement
- multispectral
- image analysis
- principal component analysis
- remote sensing
- image processing
- remote sensing images
- image data
- multispectral images
- edge detection
- spatial resolution
- contrast enhancement
- feature selection
- remote sensing data
- digital camera
- face recognition
- color image enhancement
- image contrast enhancement
- dimensionality reduction
- feature space
- change detection
- histogram equalization
- face images
- pattern recognition
- land cover
- spectral characteristics
- principal components
- feature extraction
- transfer function
- machine learning
- feature vectors
- multiresolution
- enhanced image
- remote sensing imagery
- single image