I have a somewhat difficult set of aerial photography, taken from a helicopter, unfortunately with suboptimal overlap (~ 30%) and with some images of forest/trees only. So, in order to get this set of images to a working state, I am looking for help on a few questions:
- I do not have GPS coordinates for the images but I do roughly know the order and layout of how the images were taken (the HC flew in a zig-zag path towards north) - is it possible to add this information to PhotoScan so it only tries to match neighboring images? In other words, I already know the rough layout/pattern of the images and PhotoScan should only 'refine' it.
- I read the manual and the online tutorials but still am not clear how I can manually add image features/virtual markers to help with difficult images?
- What can I do to manually help the alignment process? I am happy to delete erroneous points and/or matches between images but I am missing how to do this in a way that affects the alignment?
- Is it possible (and does it make sense) to start with a low accuracy and then subsequently refine the solution instead of redoing the photo alignment from scratch for each new accuracy setting?
- The images I work with are pretty high resolution (~70 megapixels each) - do I need to adjust some settings (e.g. max points per photo) in PhotoScan to correct for this?
- Alignment computation times for the entire set are rather long (> 3 hrs) - is there a smart way to break this down into smaller pieces that can be increased later bit by bit?
Thanks very much for any help and advice!
Martin