Genetic algorithm-based feature selection for classification of land cover changes using combined LANDSAT and ENVISAT images.
N. Suresh KumarM. ArunPublished in: Int. J. Bio Inspired Comput. (2017)
Keyphrases
- satellite images
- land cover
- remotely sensed
- thematic mapper
- feature selection
- multispectral
- satellite imagery
- remote sensing
- remote sensing data
- supervised classification
- change detection
- image classification
- remote sensing images
- remotely sensed images
- land cover classification
- landsat tm
- hyperspectral images
- image data
- classification accuracy
- image database
- remotely sensed data
- multispectral images
- image analysis
- high spatial resolution
- text classification
- remote sensing imagery
- feature extraction
- mutual information
- image features
- image regions
- object recognition
- feature space
- infrared
- machine learning
- feature set
- data sets
- hyperspectral
- image registration
- hyperspectral data
- information content
- decision trees
- model selection
- high resolution
- geographic information systems
- video sequences
- high quality
- spatial information
- dimensionality reduction