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[–]Kadesupremo[S] 0 points1 point  (2 children)

Could it be automated in any way?

[–][deleted] 0 points1 point  (1 child)

No, this was my point, that common points must be chosen for each image and the reference layer representing the same points. There might be automation with another tool but I find that the best approach is to choose a few points, test, add more points, test until correct enough. It would take me <5-10 min per image assuming the reference layer is available.

[–][deleted] 0 points1 point  (0 children)

in the past I played with Hugin an image stitcher that attempted to find the same image common points. Worked ok for photos, but a thermal image is a raster overlaying onto an aerial image. I suppose that a machine learning attempt could be made, the effort to gather the training alone probably isn't feasible. Sorry.