STSMamba, a sparse deformable Mamba architecture with temporal-spectral decoupling, reports higher MODIS land cover classification accuracy than CNN, Transformer, and Mamba baselines.
Modis collection 5 global land cover: Algorithm refinements and characterization of new datasets,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
dataset 1
citation-polarity summary
fields
eess.IV 1years
2025 1verdicts
CONDITIONAL 1roles
dataset 1polarities
use dataset 1representative citing papers
citing papers explorer
-
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.