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SiameseShiftNet

NN predicting spatial coregistration shift of remote sensing imagery.
Predicts and applies X and Y affine transforms based on a 128x128 center crop of the input images, which have been encoded separately. Encodings are calculated based on all bands and represented as a single channel encoding.
Adapted from HighResNet - ShiftNet

Data.

10k 300x300px SPOT6 images. Download here (redacted), unpack in "data" folder in repo root. Contaings 'train' and 'val' data, out of which only train is used for now.

Example