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: | , , , , , |
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Format: | Article |
Language: | English |
Published: |
Asian Research Publishing Network
2023
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Subjects: | |
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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