I am trying to generate an orthomosaic of ten images, 6 of the images calibrate, but 4 end up in the uncalibrated images section. I tried the suggestion here by Marco to use a different Image Scale (1/2 or 1/4) and to use Geometrically Verified Matching, but this just makes me end up ALL images being classified as uncalibrated cameras.
Now, my dataset is problematic to begin with, as I flew oyster cages over calm water.
Now here are some pictures of my results after Initial Processing. I am confused as the 6 images that are calibrated have plenty of orange crosses, but the uncalibrated ones have no red crosses. Aren’t there supposed to be red crosses for me to try and manually calibrate with?
All ten of these images were flown with the same overlap (80% front, 70% side) height, drone, and camera. How is it it can find all the tie points between the six under these conditions but not the four?
Flown using a Phantom 4 Pro.