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:English
Published: Asian Research Publishing Network 2023
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Online Access:http://eprints.utm.my/105273/1/AbdWahidRasib2023_ClassificationofObjectsWithinAgricultureLandscape.pdf
http://eprints.utm.my/105273/
http://dx.doi.org/10.59018/0423124
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