Comparison of Classic Classifiers, Metaheuristic Algorithms and Convolutional Neural Networks in Hyperspectral Classification of Nitrogen Treatment in Tomato Leaves.
Brahim BenmounaRazieh PourdarbaniSajad SabziRubén Fernández-BeltranGinés García-MateosJosé Miguel Molina-MartínezPublished in: Remote. Sens. (2022)
Keyphrases
- hyperspectral
- hyperspectral image classification
- hyperspectral images
- hyperspectral data
- pixel classification
- remote sensing
- decision trees
- support vector
- convolutional neural networks
- hyperspectral imagery
- multispectral
- target detection
- classification algorithm
- infrared
- class labels
- supervised classification
- svm classifier
- active learning
- hyperspectral imaging
- image data
- classification accuracy
- feature selection
- feature vectors
- training set
- metaheuristic
- feature extraction
- bayesian classifier
- feature set
- text classification
- information content
- search algorithm
- metaheuristic algorithms
- hyperspectral remote sensing
- naive bayes
- random projections
- pattern recognition
- training data
- machine learning
- image processing