A GA-based sequential fuzzy segmentation approach for classification of remote sensing images.
Stelios K. MylonasDimitris G. StavrakoudisJohn B. TheocharisPublished in: FUZZ-IEEE (2012)
Keyphrases
- remote sensing images
- landsat etm
- multispectral
- change detection
- multi spectral images
- spectral features
- remote sensing
- pattern recognition
- unsupervised classification
- segmentation algorithm
- fuzzy classifier
- fuzzy sets
- remotely sensed images
- remote sensing data
- gustafson kessel
- marked point processes
- pattern classification
- satellite images
- region growing
- hyperspectral
- image analysis
- fuzzy logic
- machine learning
- supervised classification
- multispectral images
- land cover
- landsat tm
- skin lesion
- image processing
- feature extraction
- supervised learning
- feature set
- medical images
- level set
- segmentation method
- fuzzy neural network
- fuzzy rules