Hi RL,
If you have GCPs, then make use of them.
It is probably a good idea to fix the altitude value in the EXIF information, because then it can also be used as a reference. In your case, a simple Python script I shared in an earlier post should work quite well.
http://www.agisoft.com/forum/index.php?topic=4986.msg40010#msg40010You just need to know the elevation (above mean sea level) of the point of take-off for EACH individual survey plus the flight height of each survey (the value you entered in your mission planning app). You could use this website to figure out the elevation value from where you took-off:
http://elevationmap.netFollow this workflow
1. Create a chunk for each flight (= 3 chunks in your case)
2. Run the Python script for each chunk to adjust the exif Z value
3. Move the images/cameras from chunk 2 and chunk 3 to chunk 1 by selecting all cameras/images in chunk 2, then right click and choose MOVE CAMERAS > CHUNKS > Chunk 1. Repeat for chunk 3. Now you should have all height adjusted images/cameras in chunk 1.
4. Run alignment
5. Import and 'link' GCPs/markers (make sure that the coordinate reference systems of markers and images are matching). Double check the accuracy settings for cameras (10m default) and markers. If available, also import the horizontal and vertical accuracy values for your markers. If they have been 'properly' surveyed, these should be available.
6. Remove 'outliers' from the sparse cloud (i.e., using gradual selection) and then run OPTIMISATION
7. Build dense point cloud and other spatial datasets (mesh, DEM, etc)
DONE.
All the best.
Regards,
SAV