Lu et al. (2026) MambaSTF: Visual State Space Model for Remote Sensing Images Spatiotemporal Fusion
Identification
- Journal: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- Year: 2026
- Date: 2026-01-01
- Authors: Sichen Lu, Juanjuan Jing, Kan Wei, Lei Yang, Boyang Nie, Mingfei Li, Jin Zhou
- DOI: 10.1109/jstars.2026.3668857
Research Groups
[Information not available in the provided text]
Short Summary
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Objective
[Information not available in the provided text]
Study Configuration
- Spatial Scale: [Information not available in the provided text]
- Temporal Scale: [Information not available in the provided text]
Methodology and Data
- Models used: MambaSTF (Visual State Space Model)
- Data sources: Remote Sensing Images (specific sources not detailed in the provided text)
Main Results
- [Information not available in the provided text]
Contributions
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Funding
- [Information not available in the provided text]
Citation
@article{Lu2026MambaSTF,
author = {Lu, Sichen and Jing, Juanjuan and Wei, Kan and Yang, Lei and Nie, Boyang and Li, Mingfei and Zhou, Jin},
title = {MambaSTF: Visual State Space Model for Remote Sensing Images Spatiotemporal Fusion},
journal = {IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing},
year = {2026},
doi = {10.1109/jstars.2026.3668857},
url = {https://doi.org/10.1109/jstars.2026.3668857}
}
Original Source: https://doi.org/10.1109/jstars.2026.3668857