Multiple classifier system for remotely sensed data clustering.
Lamia Fatma Houbaba Chaouche RamdaneHabib MahiMostafa El Habib DahoMohammed El Amine LazouniPublished in: IET Image Process. (2022)
Keyphrases
- data clustering
- remotely sensed
- multiple classifier systems
- change detection
- remote sensing
- infrared
- remotely sensed images
- multispectral
- satellite images
- hyperspectral
- hyperspectral images
- classification systems
- land cover
- machine learning
- unsupervised learning
- clustering algorithm
- cluster analysis
- pattern recognition
- geospatial data
- classification accuracy
- k means
- remote sensing images
- majority voting
- classifier combination
- texture classification
- base classifiers
- neural network
- high resolution
- data sets
- image fusion
- supervised classification
- information content
- principal component analysis
- image analysis
- image segmentation
- image processing