A spatial-spectral approach for deriving high signal quality eigenvectors for remote sensing image transformations.
Derek M. RoggeMartin BachmannBenoit RivardAllan Aasbjerg NielsenJilu FengPublished in: Int. J. Appl. Earth Obs. Geoinformation (2014)
Keyphrases
- remote sensing
- hyperspectral
- image transformations
- remote sensing data
- hyperspectral imagery
- hyperspectral remote sensing
- image analysis
- multi spectral images
- multispectral
- hyperspectral images
- remote sensing images
- change detection
- spectral resolution
- remote sensing imagery
- high resolution
- high spatial resolution
- multispectral images
- image processing
- satellite images
- image fusion
- high quality
- land cover
- spatial information
- spatial frequency
- signal processing
- medical imaging
- pixel intensities
- neural network
- high frequency
- keypoints
- spatial data
- rotation invariant
- principal component analysis
- multiresolution
- pattern recognition
- deformable models
- image registration
- image sequences
- image matching