STSMamba, a sparse deformable Mamba architecture with temporal-spectral decoupling, reports higher MODIS land cover classification accuracy than CNN, Transformer, and Mamba baselines.
Comparison of support vector machine, neural network, and cart algorithms for the land-cover classification using limited training data points,
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Spatial-Temporal-Spectral Mamba with Sparse Deformable Token Sequence for Enhanced MODIS Time Series Classification
STSMamba, a sparse deformable Mamba architecture with temporal-spectral decoupling, reports higher MODIS land cover classification accuracy than CNN, Transformer, and Mamba baselines.