Seems like they are using photogrammetry, most likely with a large amount of high resolution images. Photogrammetry under these conditions can be fairly computa

Seems like they are using photogrammetry, most likely with a large amount of high resolution images. Photogrammetry under these conditions can be fairly computationally expensive, specially if they use aim for high quality reconstructions (which they probably should, given this is a one-time or few-time cost). Of course, it depends on what algorithms they're using, of which I have no idea, but there's plenty of fairly fancy methods, many involving deep learning in the pipeline.