Parameter optimization for Markov random field models for remote sensing image classification through sequential minimal optimization.
Andrea De GiorgiGabriele MoserSebastiano B. SerpicoPublished in: IGARSS (2015)
Keyphrases
- parameter optimization
- remote sensing
- markov random field models
- sequential minimal optimization
- image classification
- support vector machine
- remotely sensed data
- support vector
- image restoration
- multispectral
- change detection
- radial basis function
- quadratic programming
- image analysis
- image segmentation
- remote sensing images
- support vector regression
- image processing
- high resolution
- hyperspectral
- satellite images
- hyperparameters
- remote sensing data
- differential evolution
- land cover
- feature extraction
- genetic algorithm ga
- genetic algorithm
- training data
- parameter estimation
- k nearest neighbor
- image features
- feature selection
- support vector machine svm
- machine learning
- parameter settings
- pid controller
- feature vectors
- optimization algorithm
- feature space
- kernel function
- pairwise
- evolutionary algorithm
- knn
- computer vision