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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Bibliographic Details

Main Authors:	Ahmad, Asmala, Abu Sari, Mohd Yazid, Sakidin, Hamzah, Sufahani, Suliadi Firdaus, Mat Amin, Abd Rahman, Rasib, Abd Wahid
Format:	Article
Language:	en
Published:	Asian Research Publishing Network (ARPN) 2023
Online Access:	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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