Model Selection Using K-Means Clustering Algorithm for the Symmetrical Segmentation of Remote Sensing Datasets.
Ishfaq AliAtiq Ur RehmanDost Muhammad KhanZardad KhanMuhammad ShafiqJin-Ghoo ChoiPublished in: Symmetry (2022)
Keyphrases
- model selection
- remote sensing
- remote sensed images
- motion segmentation
- image analysis
- cross validation
- medical imaging
- change detection
- bayesian information criterion
- remote sensing images
- multispectral
- hyperparameters
- parameter estimation
- hyperspectral
- high resolution
- remote sensing imagery
- remote sensing data
- image processing
- sample size
- satellite data
- image fusion
- image segmentation
- machine learning
- model selection criteria
- satellite images
- land cover
- segmentation algorithm
- mixture model
- automatic image registration
- selection criterion
- multiscale
- marginal likelihood
- feature selection
- hyperspectral images
- unsupervised learning
- hyperspectral imagery
- medical images
- gaussian process
- variable selection
- clustering algorithm
- automatic model selection
- earth observation
- digital image analysis
- multi spectral images
- moving objects
- pattern recognition
- markov random field
- k means