AI RESEARCH
Comparative analysis of dual-form networks for live land monitoring using multi-modal satellite image time series
arXiv CS.CV
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ArXi:2603.24109v1 Announce Type: cross Multi-modal Satellite Image Time Series (SITS) analysis faces significant computational challenges for live land monitoring applications. While Transformer architectures excel at capturing temporal dependencies and fusing multi-modal data, their quadratic computational complexity and the need to reprocess entire sequences for each new acquisition limit their deployment for regular, large-area monitoring. This paper studies various dual-form attention mechanisms for efficient multi-modal SITS analysis, that enable parallel.