Contributions in belief functions and plausible and paradoxical reasoning theories: Application to supervised classification of satellite images.
Zouhour Ben DhiafFatma HaouasAtef HamoudaPublished in: IPAS (2014)
Keyphrases
- supervised classification
- satellite images
- belief functions
- land cover
- multispectral
- remote sensing
- dempster shafer theory
- evidential reasoning
- change detection
- probability theory
- dempster shafer
- satellite imagery
- remotely sensed images
- uncertain information
- knowledge base
- supervised classifiers
- unsupervised clustering
- remote sensing images
- genetic algorithm
- hyperspectral
- unsupervised learning
- image data
- high quality
- feature extraction
- probability function
- image segmentation
- uncertain reasoning
- high resolution satellite images