I have a set of 20-40 aerial photos (in a line, ~90% overlap), with excellent GPS data.
I have run the alignment > mesh > orthomosaic workflow on them several times.
Settings are "High Accuracy" alignment > "Low Face Count" mesh > orthomosaic.
I am trying to figure out the most efficient way to get a high accuracy orthomosaic. I'm comparing my results to google maps to check accuracy (I don't know if they are perfect either, but so far it's been a good reference point).
At the moment, if I use only the first 20 photos, my total Chunk Error is showing as ~7m. I have tried rerunning alignment several times and still it sticks around there, even with "Highest" accuracy marked. When I look at the orthomosaic, it is clear that along a coastline that is in the image, it is not doing that good of a job aligning.
However, if I align all 40 photos, and then export the orthomosaic for the area of the first 20, the orthomosaic looks great and aligns perfectly on the coastline. It also has a total Chunk Error of ~0.6m.
I thought this might mean including a slightly larger area would be good for alignment (despite increased processing time), but later on in my dataset it actually produces worse results if I include more points for alignment that aren't quite in my reference chunk.
Do you have any recommendation for an efficient process to get high accuracy orthomosaics???
1) Should I be including additional cameras that are just outside of my orthomosaic bounds to improve the quality of the orthomosaic?
2) Is a low face count mesh the right choice for an orthomosaic, or should I adjust this?
3) Are there any other default settings I should be editing to increase the quality of the orthomosaic output?
Topic: Most efficient way to ensure High Accuracy alignment? (Read 1843 times)
