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  - **Model type:** Pre-trained visual transformer model
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  - **License:** Apache license 2.0
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- SatelliteVision-Base (SatVis-B) is a pre-trained vision transformer based on the SwinV2 mode architecture.
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  The model is pre-trained on global MODIS surface reflectance data from which 1.99 million image chips were used. SatVis-B is pre-trained using
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  the masked-image-modeling (MIM) contrastive pre-training strategy. The MIM pre-training approach utilizes random
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  masking of the input geospatial image chip, using a linear layer to regress the raw pixel values of the masked
 
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  - **Model type:** Pre-trained visual transformer model
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  - **License:** Apache license 2.0
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+ SatelliteVision-Base (SatVis-B) is a pre-trained vision transformer based on the SwinV2 model architecture.
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  The model is pre-trained on global MODIS surface reflectance data from which 1.99 million image chips were used. SatVis-B is pre-trained using
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  the masked-image-modeling (MIM) contrastive pre-training strategy. The MIM pre-training approach utilizes random
15
  masking of the input geospatial image chip, using a linear layer to regress the raw pixel values of the masked