Optimizing SVM for argan tree classification using Sentinel-2 data: A case study in the Sous-Massa Region, Morocco

Optimizing SVM for argan tree classification using Sentinel-2 data: A case study in the Sous-Massa Region, Morocco

The development of efficient classifiers for land cover remains challenging due to the presence of hyperparameters in the model. Conventional approaches rely on manual tuning, which is both time-consuming and impractical, often leading to suboptimal results. This study aimed to optimize the hyperpar...

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Bibliographic Details
Main Authors: Abdelhak El Kharki, Jamila Mechbouh, Miriam Wahbi, Otmane Yazidi Alaoui, Hakim Boulaassal, Mustapha Maatouk, Omar El Kharki
Format: Article
Language:English
Published: Universitat Politècnica de València 2024-11-01
Series:Revista de Teledetección
Subjects:
sentinel-2
support vector machine
hyperparameter
argan forests
grid search
Online Access:https://polipapers.upv.es/index.php/raet/article/view/22060
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https://polipapers.upv.es/index.php/raet/article/view/22060

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