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model_metadata.json
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{
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"model_name": "Beyond Backscatter GRD/GEE coherence estimator",
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"framework": "tensorflow_keras",
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"weights_filename": "model.weights.h5",
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"config_filename": "config.yaml",
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"source_weight_set": "GEE",
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"input_convention": "two Sentinel-1 GRD linear sigma0 images from Google Earth Engine, channel order [t1, t2]",
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"model_preprocessing": "linear sigma0 -> dB -> clip [-20, 0] -> normalize [0, 1]",
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"output_convention": "predicted coherence in [0, 1], first model output channel",
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"github_repo": "https://github.com/FPSica/BeyondBackscatter",
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"colab_notebook": "https://colab.research.google.com/github/FPSica/BeyondBackscatter/blob/main/notebooks/back2coh_grd_gee_colab.ipynb"
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}
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