Multi-Crop Classification Using Feature Selection-Coupled Machine Learning Classifiers Based on Spectral, Textural and Environmental Features.
Shan HePeng PengYiyun ChenXiaomi WangPublished in: Remote. Sens. (2022)
Keyphrases
- feature selection
- feature set
- machine learning
- classification models
- feature selection algorithms
- feature subset
- classification accuracy
- irrelevant features
- selected features
- feature space
- feature reduction
- feature ranking
- feature extraction
- support vector machine
- support vector
- svm classifier
- machine learning approaches
- redundant features
- high dimensionality
- input features
- text classification
- classification performances
- machine learning algorithms
- optimal subset of features
- classification method
- bayes classifier
- feature vectors
- class labels
- informative features
- extracted features
- decision trees
- discriminative features
- feature construction
- machine learning methods
- feature weights
- classification process
- feature weighting
- wrapper feature selection
- model selection
- classification algorithm
- text categorization
- small sample
- individual features
- naive bayes
- feature generation
- rotational invariant
- spectral features
- selecting features
- single feature
- multi class
- supervised classification
- ensemble classifier
- accurate classification
- support vector machine classifiers
- classification rate
- multiple features
- fold cross validation
- supervised learning
- sequential forward selection
- decision tree classifiers
- feature subspace
- support vector machine svm
- classifier combination
- bayesian classifier
- discriminative classifiers
- irrelevant attributes
- multiple classifier systems
- learning algorithm