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gher-uliege / DINCAE

DINCAE (Data-Interpolating Convolutional Auto-Encoder) is a neural network to reconstruct missing data in satellite observations.
GNU General Public License v3.0
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some questions about the test dataset #9

Closed Tom933 closed 2 years ago

Tom933 commented 2 years ago

In the paper, how were the last 50 images used to test the model ？ the network is trained by using 5266 images, then the cloud mask of the first 50 images is used in the last 50 images, the trained model is validated on these 50 images. Is the testing process like this?

Alexander-Barth commented 2 years ago

Yes, this is right

Tom933 commented 2 years ago

Thanks a lot for your answer.