Linear spectral mixture models and support vector machines for remote sensing.
Martin BrownHugh G. LewisSteve R. GunnPublished in: IEEE Trans. Geosci. Remote. Sens. (2000)
Keyphrases
- remote sensing
- mixture model
- hyperspectral
- support vector
- hyperspectral imagery
- multi spectral images
- hyperspectral remote sensing
- multispectral
- spectral resolution
- change detection
- gaussian mixture model
- hyperspectral images
- remote sensing images
- em algorithm
- probabilistic model
- multispectral images
- image analysis
- model selection
- spectral data
- generative model
- high resolution
- density estimation
- language model
- remote sensing data
- image fusion
- image processing
- hyperspectral data
- satellite data
- remote sensing imagery
- satellite images
- expectation maximization
- high spatial resolution
- hyperspectral imaging
- unsupervised learning
- cross validation
- mixture modeling
- spectral bands
- maximum likelihood
- land cover
- digital image analysis
- feature selection
- remote sensed images
- automatic image registration
- earth observation
- land cover classification
- spatial resolution
- image data