New foundation model improves accuracy for remote sensing image interpretation

Credit: Unsplash/CC0 Public Domain

A new foundation model dubbed RingMo has been developed to improve the accuracy for remote sensing image interpretation, according to the Aerospace Information Research Institute (AIR), Chinese Academy of Sciences (CAS).

The study titled “RingMo: A Remote Sensing Foundation Model with Masked Image Modeling” was published in IEEE Transactions on Geoscience and Remote Sensing.
Remote sensing images are applied in fields like classification and change detection, and deep learning approaches have contributed to the rapid development of remote sensing image interpretation. The most widely used training paradigm is the use of ImageNet pre-trained models to …

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