Naïve Bayes Classification of High-Resolution Aerial Imagery

Naïve Bayes Classification of High-Resolution Aerial Imagery

In this study, the performance of Naïve Bayes classification on a high-resolution aerial image captured from a UAV-based remote sensing platform is investigated. K-means clustering of the study area is initially performed to assist in selecting the training pixels for the Naïve Bayes classificatio...

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Bibliographic Details
Main Authors: Ahmad, A. (Author), Amin, A.R.M (Author), Rasib, A.W (Author), Sakidin, H. (Author), Sari, M.Y.A (Author), Sufahani, S.F (Author)
Format: Article
Language:English
Published: Science and Information Organization 2021
Series:International Journal of Advanced Computer Science and Applications
Subjects:
Aerial photography
Antennas
classification accuracy
Classification accuracy
Classifiers
discriminant analysis
Discriminant analysis
High resolution aerial imagery
Image classification
Kappa coefficient
k-means
K-means
K-means clustering
Linear discriminant analyze
Naive bayes
Naïve Bayes
Naive Bayes classification
Pixels
Quadratic discriminant analysis
Remote sensing
training set size
Training set size
Training sets
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