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

• المؤلفون الرئيسيون: Ahmad, Asmala, Abu Sari, Mohd Yazid, Sakidin, Hamzah, Sufahani, Suliadi Firdaus, Mat Amin, Abd Rahman, Rasib, Abd Wahid
• التنسيق: مقال
• اللغة: English
• منشور في: Asian Research Publishing Network (ARPN) 2023
• الوصول للمادة أونلاين: 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

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...