Spectral-Spatial Classification With Naive Bayes and Adaptive FFT for Improved Classification Accuracy of Hyperspectral Images.
Arvind Kumar SinghRenuvenkataswamy SunkaraGovind R. KadambiVasile PaladePublished in: IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. (2024)
Keyphrases
- classification accuracy
- naive bayes
- hyperspectral images
- hyperspectral
- hyperspectral data
- decision trees
- hyperspectral imagery
- logistic regression
- classification algorithm
- training set
- training data
- naive bayes classifier
- support vector
- naive bayesian classifier
- feature selection
- text classification
- bayesian classifier
- bayesian network classifiers
- multispectral
- remote sensing
- spectral bands
- data sets
- text categorization
- probabilistic classifiers
- spatial information
- text classifiers
- feature set
- hyperspectral remote sensing
- feature space
- color images
- augmented naive bayes
- conditional independence assumption
- bayesian networks
- bayesian classifiers
- multispectral images
- target detection
- nearest neighbor
- mutual information
- averaged one dependence estimators
- feature subset
- achieve high classification accuracy