Naïve Bayes Classification Of High-Resolution Aerial Imagery

• 主要な著者: Ahmad, Asmala, Sakidin, Hamzah, Abu Sari, Mohd Yazid, Mat Amin, Abd Rahman, Sufahani, Suliadi Firdaus, Rasib, Abd Wahid
• フォーマット: 論文
• 言語: English
• 出版事項: Science and Information Organization 2021
• オンライン･アクセス: http://eprints.utem.edu.my/id/eprint/25657/2/IJACSA%20NA%C3%8FVE_BAYES.PDF; http://eprints.utem.edu.my/id/eprint/25657/; https://thesai.org/Downloads/Volume12No11/Paper_20-Na%C3%AFve_Bayes_Classification_of_High_Resolution_Aerial_Imagery.pdf

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 classification....