Naïve Bayes Classification of High-Resolution Aerial Imagery

• 主要な著者: Ahmad, A., Sakidin, H., Sari, M.Y.A., Amin, A.R.M., Sufahani, S.F., Rasib, A.W.
• フォーマット: 論文
• 出版事項: Science and Information Organization 2021
• オンライン･アクセス: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85121279212&doi=10.14569%2fIJACSA.2021.0121120&partnerID=40&md5=459f5f74d8577d128971fc5a8b3fa7bd; http://eprints.utp.edu.my/30349/

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...