Classification of objects within agricultural landscape from high-resolution aerial imagery using maximum likelihood discriminant rules

In this study, the performance of object classification based on four discriminant functions, namely linear, quadratic, diagonal linear and diagonal quadratic is investigated and compared. High-resolution aerial imagery captured from a UAV-based remote sensing platform is used for this purpose. Init...

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Main Authors: Ahmad, Asmala, Abu Sari, Mohd Yazid, Sakidin, Hamzah, Sufahani, Suliadi Firdaus, Mat Amin, Abd Rahman, Rasib, Abd Wahid
格式: Article
语言:English
出版: Asian Research Publishing Network (ARPN) 2023
在线阅读:http://eprints.utem.edu.my/id/eprint/27548/2/0064805092023349.PDF
http://eprints.utem.edu.my/id/eprint/27548/
https://www.arpnjournals.org/jeas/research_papers/rp_2023/jeas_0423_9179.pdf
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