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  • Stony Brook University
  • Stony Brook, 11790, NY, USA

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  1. 2x_temperature_sr_project 2x_temperature_sr_project Public

    Transformer-based super-resolution for AMSR-2 thermal satellite imagery using SwinIR + Real-ESRGAN. Achieves 2× native upsampling with cascaded 8× capability and physics-aware loss functions.

    Python 3

  2. unet_resnet_sr unet_resnet_sr Public

    Deep-learning super-resolution model for AMSR-2 thermal imagery using a U-Net architecture with a ResNet encoder, bicubic-residual refinement, and physics-aware loss terms. Provides 2× native upsam…

    Python 1

  3. L_U-Net_ResNet_2x L_U-Net_ResNet_2x Public

    This repository implements a neural network that upscales low-resolution brightness temperature data from AMSR2 satellite observations by 2×, 4×, or 8×. The model uses spatial attention mechanisms …

    Python