UAV and Machine Learning Based Refinement of a Satellite-Driven Vegetation Index for Precision Agriculture.
Vittorio MazziaLorenzo CombaAleem KhaliqMarcello ChiabergePaolo GayPublished in: CoRR (2020)
Keyphrases
- machine learning
- precision agriculture
- remote sensing
- data mining
- remotely sensed
- change detection
- machine learning algorithms
- data driven
- satellite data
- pattern recognition
- index structure
- machine learning methods
- multispectral
- text mining
- active learning
- remotely sensed data
- land cover
- learning tasks
- image analysis
- feature selection
- explanation based learning
- machine learning approaches
- hyperspectral
- learning algorithm
- image processing
- artificial intelligence
- urban areas
- remote sensing images
- inductive learning
- data analysis
- high resolution
- learning systems
- knowledge acquisition
- multi dimensional
- support vector machine
- natural language processing
- supervised learning
- semi supervised learning
- model selection
- knowledge discovery
- indexing method
- query refinement
- unmanned aerial vehicles
- computer vision
- information extraction