RingMo-Agent: A Unified Remote Sensing Foundation Model for Multi-Platform and Multi-Modal Reasoning

Understand

Remote sensing (RS) images from multiple modalities and platforms exhibit diverse details due to differences in sensor characteristics and imaging perspectives.

• Existing vision-language research in RS largely relies on relatively homogeneous data sources.
• Moreover, they still remain limited to conventional visual perception tasks such as classification or captioning.
• As a result, these methods fail to serve as a unified and standalone framework capable of effectively handling RS imagery from diverse sources in real-world applications.