Markov random field models for supervised land cover classification from very high resolution multispectral remote sensing images.
Gabriele MoserSebastiano B. SerpicoJón Atli BenediktssonPublished in: TyWRRS (2012)
Keyphrases
- multispectral
- land cover classification
- remote sensing images
- markov random field models
- remote sensing
- land cover
- high spatial resolution
- remote sensing data
- satellite images
- multispectral images
- image restoration
- hyperspectral
- image analysis
- remotely sensed images
- image data
- spatial resolution
- image segmentation
- multi spectral images
- semi supervised
- supervised learning
- change detection
- urban areas
- remote sensing imagery
- hyperspectral imagery
- supervised classification
- satellite data
- wavelet transformation
- hyperspectral images
- unsupervised learning
- feature selection
- neural network
- computer vision
- machine learning