New foundation model improves accuracy for remote sensing image interpretation


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A brand new basis mannequin dubbed RingMo has been developed to enhance the accuracy for distant sensing picture interpretation, in line with the Aerospace Data Research Institute (AIR), Chinese language Academy of Sciences (CAS).

The research titled “RingMo: A Remote Sensing Foundation Model with Masked Image Modeling” was printed in IEEE Transactions on Geoscience and Distant Sensing.

Distant sensing photos are utilized in fields like classification and alter detection, and deep learning approaches have contributed to the speedy improvement of remote sensing picture interpretation. Probably the most broadly used coaching paradigm is the usage of ImageNet pre-trained fashions to course of distant sensing information for specified duties.

Nonetheless there are issues, reminiscent of a website hole between pure and distant sensing scenes and the poor generalization capability of distant sensing fashions. Thus, it’s essential to develop a basis mannequin with normal distant sensing characteristic illustration. Since a considerable amount of unlabeled information is offered, the self-supervised methodology is best than the totally supervised methodology in distant sensing.

The research goals to suggest a distant sensing basis mannequin framework, which might leverage the advantages of generative self-supervised studying for distant sensing photos. RingMo encompasses a large-scale dataset constructed by gathering 2 million distant sensing photos from satellite tv for pc and aerial platforms, protecting a number of scenes and objects around the globe. As well as, distant sensing basis mannequin coaching methodology is designed for dense and small objects in sophisticated distant sensing scenes.

RingMo is the primary generative basis mannequin for cross-modal distant sensing information. Sooner or later, the mannequin might be utilized to 3D reconstruction, residential development, transportation, water conservancy, environmental protection and different fields.

Mutual attention inception network developed for remote sensing visual question answering

Extra data:
Xian Solar et al, RingMo: A Distant Sensing Basis Mannequin with Masked Picture Modeling, IEEE Transactions on Geoscience and Distant Sensing (2022). DOI: 10.1109/TGRS.2022.3194732

New basis mannequin improves accuracy for distant sensing picture interpretation (2022, September 9)
retrieved 9 September 2022

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