A Comparative Assessment of Machine-Learning Techniques for Land Use and Land Cover Classification of the Brazilian Tropical Savanna Using ALOS-2/PALSAR-2 Polarimetric Images.
Flavio Fortes CamargoEdson Eyji SanoCláudia Maria de AlmeidaJosé C. MuraTati AlmeidaPublished in: Remote. Sens. (2019)
Keyphrases
- land cover classification
- multispectral
- high spatial resolution
- satellite images
- image data
- remote sensing
- multispectral images
- image analysis
- remote sensing imagery
- remote sensing data
- land cover
- supervised classification
- hyperspectral
- edge detection
- image registration
- sar imagery
- object recognition
- remote sensing images
- pattern recognition
- machine learning
- geographic information systems
- change detection
- urban areas
- hyperspectral images
- color images
- computer vision