Gaussian Mixture Models for Supervised Classification of Remote Sensing Multispectral Images.
Ana Claudia Oliveira de MeloRonei Marcos de MoraesLiliane dos Santos MachadoPublished in: CIARP (2003)
Keyphrases
- gaussian mixture model
- multispectral images
- supervised classification
- remote sensing
- multispectral
- remote sensing images
- change detection
- supervised learning
- remotely sensed images
- mixture model
- high spatial resolution
- hyperspectral
- unsupervised learning
- high resolution
- satellite images
- land cover
- image processing
- image fusion
- land cover classification
- remote sensing imagery
- spatial resolution
- hyperspectral images
- remote sensing data
- satellite imagery
- feature vectors
- em algorithm
- maximum likelihood
- expectation maximization
- satellite data
- multi spectral images
- image analysis
- feature space
- hyperspectral imagery
- data sets
- spectral bands
- high quality
- image segmentation
- feature selection
- computer vision
- pattern recognition
- edge detection
- model selection