Land cover classification combining Sentinel-1 and Landsat 8 imagery driven by Markov random field with amendment reliability factors.
Xiaofei ShiZhiyu DengXing DingLi LiPublished in: EURASIP J. Wirel. Commun. Netw. (2020)
Keyphrases
- markov random field
- land cover classification
- remote sensing data
- multispectral
- supervised classification
- satellite imagery
- remote sensing
- land cover
- mrf model
- graph cuts
- remote sensing images
- satellite images
- higher order
- high spatial resolution
- belief propagation
- random fields
- image data
- energy function
- maximum a posteriori
- multispectral images
- image segmentation
- thematic mapper
- remote sensing imagery
- pairwise
- parameter estimation
- potential functions
- change detection
- computer vision
- image analysis
- spatial resolution
- mrf optimization
- hyperspectral
- high resolution
- mrf models
- prior model
- unsupervised learning
- image processing
- video sequences
- maximum likelihood
- machine learning