Using Multiscale Spectra in Regularizing Covariance Matrices for Hyperspectral Image Classification.
Are Charles JensenMarco LoogAnne H. Schistad SolbergPublished in: IEEE Trans. Geosci. Remote. Sens. (2010)
Keyphrases
- covariance matrices
- hyperspectral image classification
- multiscale
- hyperspectral images
- hyperspectral
- covariance matrix
- hyperspectral data
- maximum likelihood
- remote sensing
- hyperspectral imagery
- distance measure
- vector space
- multispectral
- gaussian distribution
- active learning
- infrared
- gaussian mixture model
- multivariate normal
- image processing
- image segmentation
- target detection
- information content
- edge detection
- gaussian mixture
- image representation
- image data
- principal component analysis
- affine invariant
- feature vectors
- machine learning
- computer vision
- principal components
- multi class
- random projections
- multispectral images
- similarity measure
- sample size
- expectation maximization