Contextual remote-sensing image classification by support vector machines and Markov random fields.
Gabriele MoserSebastiano B. SerpicoPublished in: IGARSS (2010)
Keyphrases
- markov random field
- remote sensing
- image classification
- support vector
- remotely sensed data
- change detection
- multispectral
- graph cuts
- remote sensing imagery
- higher order
- random fields
- belief propagation
- mrf model
- satellite images
- high resolution
- remote sensing images
- image segmentation
- energy function
- image analysis
- pairwise
- parameter estimation
- maximum a posteriori
- remote sensing data
- hyperspectral
- land cover
- image restoration
- image processing
- potential functions
- satellite imagery
- image features
- image fusion
- feature extraction
- conditional random fields
- remotely sensed
- high spatial resolution
- remotely sensed images
- multi label
- satellite data
- digital image analysis
- automatic image registration
- piecewise constant functions
- multi spectral images
- visual words
- earth observation
- remote sensed images
- maximum margin
- markov networks
- image understanding
- support vector machine
- hyperspectral images
- natural images
- feature selection
- computer vision