Binary Classification of Agricultural Crops Using Sentinel Satellite Data and Machine Learning Techniques.
Paolo BertelliniGianluca D'AddeseGiorgia FranchiniSimone ParisiCarmelo ScribanoDaniele ZaniratoMarko BertognaPublished in: FedCSIS (2023)
Keyphrases
- binary classification
- satellite data
- hyperspectral
- remote sensing
- learning problems
- multi class
- support vector
- machine learning algorithms
- multi class classification
- cost sensitive
- satellite images
- multispectral
- machine learning
- generalization error
- support vector machine
- land cover
- infrared
- multi label
- machine learning methods
- class imbalance
- prediction accuracy
- image data
- change detection
- remote sensing images
- ensemble methods
- high resolution
- image segmentation
- neural network
- computer vision
- learning tasks
- data sets
- cross validation
- reinforcement learning
- bayesian networks
- similarity measure