Subspace-Based Feature Fusion from Hyperspectral and Multispectral Images for Land Cover Classification.
Juan Marcos RamirezHéctor VargasJosé Ignacio Martinez TorreHenry ArguelloPublished in: IGARSS (2021)
Keyphrases
- land cover classification
- multispectral images
- hyperspectral
- multispectral
- remote sensing
- remote sensing images
- spatial resolution
- high spatial resolution
- hyperspectral images
- spectral bands
- remote sensing data
- image data
- hyperspectral data
- satellite images
- image analysis
- hyperspectral imagery
- remote sensing imagery
- low dimensional
- land cover
- target detection
- feature extraction
- dimensionality reduction
- principal component analysis
- high dimensional
- high dimensional data
- feature space
- machine learning
- principal components
- fusion method
- data sets
- high resolution
- object recognition
- multiscale
- multi sensor
- video data
- multiresolution
- pattern recognition