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lanha / DSen2

Super-Resolution of Sentinel-2 Images: Learning a Globally Applicable Deep Neural Network
GNU General Public License v3.0
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Problems with Colab Version with SR60 #33

Closed luissalgueiro closed 3 years ago

luissalgueiro commented 3 years ago

Hello, First of all, thanks for the impressive work. I was trying to use the Colab version for testing and I have issues regarding the super-resolution of 60m bands. I use the model with run60=True and pass each band with the corresponding order: For 10m: (B2,B3,B4,B8), 20m:(B5,B6,B7,B8a,B11,B12) and 60m:(B1,B9).

The example below is one crop from the list of the test images. I believe there is something i am missing here to have the performance with SR60. What could I be doing wrong?

Thanks in advance!

image

lanha commented 3 years ago

It turns out this was related to the order of the 10m channels being wrong. (B2, B3, B4, B8) vs (B4, B3, B2, B8)