For the problem:

"We have a lot of images taken from wing-type UAV by camera with at least full hd resolution. Resolution of each photo could be up to 6200*4100 for the whole flight, but for other flight could be FullHd, f.e.
Photos are taken and named consecutively within 100 meters distance between each other.
We know only starting GPS coordinates. We need to determine coordinates of centers of each image. And also coordinates of the center of any object on these photos."

check how realistic these acceptance criteria:

"System should find out GPS of centers of all the photos from the flight within error no more than 100 meters in comparison to the real GPS
System should find out GPS of centers of 70% of the photos from the flight within error no more than 30 meters in comparison to the real GPS"

Check how critical is each criteria. Also find out more acceptance criteria for this specific domain. Research impact of each value in acceptance criteria to the whole system quality. Assess acceptable ranges for each value in each acceptance criteria in the state of the art solutions, and propose corrections in form:

state of the art solutions' value ranges : our value ranges

Form the new acceptance criteria based on your research.