A survey of active learning algorithms for supervised remote sensing image classification.
Devis TuiaMichele VolpiLoris CopaMikhail F. KanevskiJordi Muñoz-MaríPublished in: CoRR (2021)
Keyphrases
- remote sensing
- learning algorithm
- image classification
- remotely sensed data
- change detection
- multispectral
- supervised learning
- high resolution
- remote sensing images
- remote sensing imagery
- hyperspectral
- image analysis
- remote sensing data
- image fusion
- image processing
- land cover
- satellite imagery
- satellite data
- satellite images
- high spatial resolution
- feature extraction
- digital image analysis
- remotely sensed imagery
- remotely sensed images
- remotely sensed
- machine learning
- training data
- active learning
- semi supervised
- hyperspectral imagery
- remote sensing image processing
- hyperspectral remote sensing
- unsupervised learning
- hyperspectral images
- climate change
- pattern recognition
- supervised classification
- feature selection
- hyperspectral imaging
- neural network
- automatic image registration
- geographical information systems
- image features
- environmental sciences
- earth science
- computer vision
- multi spectral images