Comparative study finds CNNs robust on small datasets for land use classification while Vision Transformers perform better on global spatial relationships when sufficient training data is available.
EuroSAT: A novel dataset and deep learning benchmark for land use and land cover classification,
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Vision Transformers and Convolutional Neural Networks for Land Use Scene Classification
Comparative study finds CNNs robust on small datasets for land use classification while Vision Transformers perform better on global spatial relationships when sufficient training data is available.