Improving Imbalanced Land Cover Classification with K-Means SMOTE: Detecting and Oversampling Distinctive Minority Spectral Signatures

Land cover maps are a critical tool to support informed policy development, planning, and resource management decisions. With significant upsides, the automatic production of Land Use/Land Cover maps has been a topic of interest for the remote sensing community for several years, but it is still fra...

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Bibliographic Details

Published in:	Information
Main Authors:	Joao Fonseca, Georgios Douzas, Fernando Bacao
Format:	Article
Language:	English
Published:	MDPI AG 2021-06-01
Subjects:	LULC classification imbalanced learning oversampling data augmentation clustering
Online Access:	https://www.mdpi.com/2078-2489/12/7/266