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MWieland / s1s2_water

S1S2-Water: A global dataset for semantic segmentation of water bodies from Sentinel-1 and Sentinel-2 satellite images
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Question on s1 images pre-processing #4

Closed laetitialalla closed 6 months ago

laetitialalla commented 6 months ago

Hello,

thank you very much for providing this very nice dataset ! I am sure there has been a tremendous amount of work behind this.

I just have one question : I would like to use s1s2_water as a training dataset and apply the model to other images (like Copernicus freely avalable data), so I would like to know what pre-processing steps you performed on your images. Especially for the s1 images.

In your paper you write "The Sentinel-1 images are geometrically corrected and radiometrically calibrated according to the method described by Twele et al. [33]." And [33] states « After data pre-processing using the S1TBX, the calibrated data are filtered to reduce SAR inherent speckle noise. » Since there are many de-speckling filters implemented in the S1TBX (ESA Sentinel-1 toolbox), can I ask wich one you chose and with which parameters ?

Thanks again for releasing this dataset which will allow great progress in water bodies detection !

All the best

MWieland commented 6 months ago

Dear @laetitialalla , thanks for raising this issue. We have just released the respective SNAP preprocessing graph that should include all the required details and enable the user to reproduce the Sentinel-1 preprocessed images.

laetitialalla commented 6 months ago

Great, thanks for your answer ! :)