Hello everyone,
i have a giant set of 4000 images of a building of which i plan to generate a detailed pointcloud and a lot of orthomosaics of the buildings facades.
Because of vegetation the quality of the pictures location data varies a lot, with about 80% having precise coordinates and the rest varying between normal gps quality and no position at all.
In the past i had the problem in a similar case, where the program matched my images into two groups when i had source preselection activated.
I tried to get these to align together by manually creating markers, but it did not work at the time.
Any suggestions on how i would best proceed in this case? I also have around 80 points around the building measured with a total station, so i dont neccessarily need the images RTK data, but i assume using them would cut the time needed for alignment by a lot. Since its so many images, i wanted to try to get some input first, since its hard to expirement with this much data.
Thanks a lot in advance!
Niklas