Markov Random Field Model-based Soil Moisture Content Segmentation from MODIS Satellite Data.
Ken-Chung HoYu-Chang TzengChun-Long WooPublished in: IGARSS (3) (2009)
Keyphrases
- satellite data
- markov random field
- mrf model
- image segmentation
- energy function
- remote sensing
- mrf models
- label field
- prior model
- graph cuts
- soil moisture
- satellite images
- land cover
- segmentation algorithm
- maximum a posteriori
- parameter estimation
- higher order
- labeling problems
- multispectral
- segmentation method
- hyperspectral
- random fields
- image analysis
- pairwise
- potential functions
- level set
- change detection
- object segmentation
- hyperspectral images
- long range
- bayesian estimation
- high resolution
- gibbs energy
- image processing
- information content
- gray level
- machine learning