Integration of Sentinel-1 and Sentinel-2 Data with the G-SMOTE Technique for Boosting Land Cover Classification Accuracy

Integration of Sentinel-1 and Sentinel-2 Data with the G-SMOTE Technique for Boosting Land Cover Classification Accuracy

The importance of Land Cover (LC) classification is recognized by an increasing number of scholars who employ LC information in various applications (i.e., address global climate change and achieve sustainable development). However, studying the roles of balancing data, image integration, and perfor...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Hamid Ebrahimy, Amin Naboureh, Bakhtiar Feizizadeh, Jagannath Aryal, Omid Ghorbanzadeh
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
Materias:
Machine Learning (ML)
Geometric Synthetic Minority Over-Sampling Technique (G-SMOTE)
land cover mapping
European Space Agency (ESA)
class imbalance problem
Technology
T
Engineering (General). Civil engineering (General)
TA1-2040
Biology (General)
QH301-705.5
Physics
QC1-999
Chemistry
QD1-999
Acceso en línea:https://doaj.org/article/53dd90d65c874a458964198a3cd3cb57
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!

Internet

https://doaj.org/article/53dd90d65c874a458964198a3cd3cb57

Ejemplares similares