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Deep-learning-AC-for-open-ocean

The code files were used to achieve atmospheric correction for open ocean water from Rayleigh-corrected products.

The inputs are Rayleigh-corrected reflectance at 8 visible and 2 NIR bands, and sola, solz and relaz.

The outputs are remote sensing reflectance at 8 visible bands.

create_database.py: create training and testing data from Level-2 products

train.py: build and train the atmospheric correction model

prediction.py: predict on testing data

REQURIEMENTS: numpy h5py glob torch

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