mlsanityData to 7 Oct 2026

Frequency-Enhanced Hilbert Scanning Mamba for Short-Term Arctic Sea Ice Concentration Prediction

arXiv 2602.13522 ↗First posted 13 Feb 2026eess.IV cs.CVcited by 0

On the map: State-space sequence models (S4, Mamba) → Time series forecasting with SSMs

Abstract (arXiv)

While Mamba models offer efficient sequence modeling, vanilla versions struggle with temporal correlations and boundary details in Arctic sea ice concentration (SIC) prediction. To address these limitations, we propose Frequency-enhanced Hilbert scanning Mamba Framework (FH-Mamba) for short-term Arctic SIC prediction. Specifically, we introduce a 3D Hilbert scan mechanism that traverses the 3D spatiotemporal grid along a locality-preserving path, ensuring that adjacent indices in the flattened sequence correspond to neighboring voxels in both spatial and temporal dimensions. Additionally, we incorporate wavelet transform to amplify high-frequency details and we also design a Hybrid Shuffle Attention module to adaptively aggregate sequence and frequency features. Experiments conducted on the OSI-450a1 and AMSR2 datasets demonstrate that our FH-Mamba achieves superior prediction performance compared with state-of-the-art baselines. The results confirm the effectiveness of Hilbert scanning and frequency-aware attention in improving both temporal consistency and edge reconstruction for Arctic SIC forecasting. Our codes are publicly available at https://github.com/oucailab/FH-Mamba.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Placed in Time series forecasting with SSMs, one of 10 directions in State-space sequence models (S4, Mamba). Builds on 22 of its 51 references that are in the map. First posted on arXiv 13 Feb 2026.

Builds on

22 of 51 references.

References · 22

  1. 2017Attention Is All You Needcited by 59,932
  2. 2015U-Net: Convolutional Networks for Biomedical Image Segmentationcited by 19,604
  3. 2021Swin Transformer: Hierarchical Vision Transformer using Shifted Windowscited by 12,082
  4. 2023Mamba: Linear-Time Sequence Modeling with Selective State Spacescited by 4,616
  5. 2024Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Modelcited by 1,051
  6. 2024MambaVision: A Hybrid Mamba-Transformer Vision Backbonecited by 222
  7. 2021PredRNN: A Recurrent Neural Network for Spatiotemporal Predictive Learningcited by 181
  8. 2022SimVP: Simpler yet Better Video Predictioncited by 181
  9. 2019Deep Learning for Spatio-Temporal Data Mining: A Surveycited by 171
  10. 2024PointMamba: A Simple State Space Model for Point Cloud Analysiscited by 166
  11. 2024RainMamba: Enhanced Locality Learning with State Space Models for Video Derainingcited by 56
  12. 2024MaIR: A Locality- and Continuity-Preserving Mamba for Image Restorationcited by 43
10 more
  1. 2024VMRNN: Integrating Vision Mamba and LSTM for Efficient and Accurate Spatiotemporal Forecastingcited by 35
  2. 2023SwinLSTM:Improving Spatiotemporal Prediction Accuracy using Swin Transformer and LSTMcited by 32
  3. 2025DefMamba: Deformable Visual State Space Modelcited by 18
  4. 2024EfficientViM: Efficient Vision Mamba with Hidden State Mixer based State Space Dualitycited by 17
  5. 2024GroupMamba: Efficient Group-Based Visual State Space Modelcited by 15
  6. 2024Mamba Retriever: Utilizing Mamba for Effective and Efficient Dense Retrievalcited by 8
  7. 2025Binarized Mamba-Transformer for Lightweight Quad Bayer HybridEVS Demosaicingcited by 7
  8. 2025Frequency-Compensated Network for Daily Arctic Sea Ice Concentration Predictioncited by 4
  9. 2025Seasonal Forecasting of Pan-Arctic Sea Ice with State Space Modelcited by 4
  10. 2022Rendering along the Hilbert Curvecited by 2

Built on by

Not cited yet.

Similar, not cited

Close in wording, no citation either way

  1. 2024IceDiff: High Resolution and High-Quality Sea Ice Forecasting with Generative Diffusion Prior
  2. 2026Hybrid NARX-LLM for Greenland Iceberg Discharge: Prompt-Driven Residual Correction
  3. 2025Physics-constrained generative machine learning-based high-resolution downscaling of Greenland's surface mass balance and surface temperature
  4. 2024Towards diffusion models for large-scale sea-ice modelling
  5. 2025Wavelet-Assisted Mamba for Satellite-Derived Sea Surface Temperature Super-Resolution
  6. 2026MambaRain: Multi-Scale Mamba-Attention Framework for 0-3 Hour Precipitation Nowcasting
  7. 2026RoughNet: Mapping Arctic Sea Ice Roughness Using Diffusion-Based Super-Resolution of Satellite Imagery
  8. 2024MambaDS: Near-Surface Meteorological Field Downscaling with Topography Constrained Selective State Space Modeling