articleIEEE Transactions on Geoscience and Remote SensingJan 1, 2026Closed access

FlexiMo: A Flexible Remote Sensing Foundation Model

XLXuyang LiCLChenyu LiPGPedram GhamisiDHDanfeng HongJAJón Atli Benediktsson

Chinese Academy of Sciences · Aerospace Information Research Institute · +7 more institutions

Indexed incrossref

Abstract

The rapid expansion of multi-source satellite imagery is driving innovation in Earth observation, opening unprecedented opportunities for Remote Sensing Foundation Models to harness diverse data. However, many existing models remain constrained by fixed spatial resolutions and patch sizes, limiting their ability to fully exploit the heterogeneous spatial characteristics inherent in satellite imagery. To address these challenges, we propose FlexiMo, a flexible remote sensing foundation model that endows the pre-trained model with the flexibility to adapt to arbitrary spatial resolutions. Central to FlexiMo is a spatial resolution-aware module that employs a parameter-free alignment embedding mechanism to…

Citation impact

7
total citations
FWCI
104.77
Percentile
100%
References
41
Citations per year

Authors

6

Topics & keywords

Topics
Keywords
  • Consistency (knowledge bases)
  • Remote sensing application
  • Flexibility (engineering)
  • Embedding
  • Channel (broadcasting)
  • Satellite
  • Spatial analysis
  • Exploit
UN Sustainable Development Goals
  • Sustainable cities and communities
No related works found for this paper.

Funding