Semisupervised Kernel Feature Extraction for Remote Sensing Image Analysis.
Emma Izquierdo-VerdiguierLuis Gómez-ChovaLorenzo BruzzoneGustavo Camps-VallsPublished in: IEEE Trans. Geosci. Remote. Sens. (2014)
Keyphrases
- remote sensing
- image analysis
- feature extraction
- image processing
- semi supervised
- feature space
- pattern recognition
- change detection
- multispectral
- remote sensing images
- digital image analysis
- hyperspectral
- kernel function
- remote sensing imagery
- satellite images
- remote sensing data
- image fusion
- high resolution
- feature vectors
- high spatial resolution
- satellite data
- satellite imagery
- feature selection
- image classification
- medical imaging
- face recognition
- multi spectral images
- principal component analysis
- land cover
- dimensionality reduction
- kernel methods
- hyperspectral imaging
- principle component analysis
- discriminant analysis
- remotely sensed
- visual inspection
- image segmentation
- image enhancement
- computer vision
- multispectral images
- remote sensed images
- remotely sensed images
- dimension reduction
- hyperspectral imagery
- image understanding
- supervised learning
- digital images
- image registration
- wavelet transform
- multiscale
- image interpretation
- remotely sensed data
- hyperspectral remote sensing
- hyperspectral images