CerraData-4 MM: A Multimodal Benchmark Dataset on Cerrado for Land Use and Land Cover Classification

The <italic>Cerrado</italic> faces increasing environmental pressures, necessitating accurate land use and land cover mapping despite challenges, such as class imbalance and visually similar categories. To address this, we present CerraData-4 MM, a multimodal dataset combining Sentinel-1 synthetic a...

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Hlavní autoři:	Mateus de Souza Miranda, Ronny Hansch, Valdivino Alexandre de Santiago Junior, Thales Sehn Korting, Erison Carlos dos Santos Monteiro
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	IEEE 2025-01-01
Edice:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Témata:	Cerrado deep learning (DL) hierarchical level of classes land use and land cover (LULC) classification semantic segmentation
On-line přístup:	https://ieeexplore.ieee.org/document/11068119/
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