RingMo: A Remote Sensing Foundation Model With Masked Image Modeling

This paper proposes a pre training framework for RingMo remote sensing basic model: for the first time, a pre training method based on mask image reconstruction adapted to remote sensing scenes is proposed. SOTA was achieved on eight mainstream datasets across four downstream tasks, validating the effectiveness of generative self supervised learning in the field of remote sensing.

Recommended citation:
X. Sun*, P. Wang*, W. Lu*, Z. Zhu* et al., "RingMo: A Remote Sensing Foundation Model With Masked Image Modeling," in IEEE Transactions on Geoscience and Remote Sensing, vol. 61, pp. 1-22, 2023, Art no. 5612822, doi: 10.1109/TGRS.2022.3194732.
Download Paper