Mapping fractional landscape soils and vegetation components from Hyperion satellite imagery using an unsupervised machine-learning workflow.
Michael J. FriedelPaolo Massimo BuscemaLuiz Eduardo VicenteFabio IwashitaAndréa Koga-VicentePublished in: Int. J. Digit. Earth (2018)
Keyphrases
- satellite imagery
- remote sensing
- machine learning
- land cover
- satellite images
- supervised classification
- remotely sensed
- hyperspectral
- urban areas
- change detection
- hyperspectral imagery
- electro optical
- unsupervised learning
- multispectral
- road extraction
- high resolution
- remote sensing images
- supervised learning
- image processing
- remotely sensed images
- image analysis
- pattern recognition
- decision trees
- workflow management systems
- semi supervised
- databases
- multispectral images
- hyperspectral images
- learning algorithm