I have problem with processing forest data. I’ve read different topics and even the ODM book, but still cannot tune it fine.
Here is the area (560 photos) I want to process (processed with default parameters
auto-boundary: true, dsm: true):
As you can see, only part of the area is properly processed.
I’ve tried some proposed set of parameters:
auto-boundary: true, crop: 0, dem-gapfill-steps: 4, dem-resolution: 1, dsm: true, dtm: true, matcher-neighbors: 16, mesh-size: 300000, min-num-features: 16000, orthophoto-resolution: 1, pc-classify: true, pc-filter: 1, pc-geometric: true, pc-quality: high, use-3dmesh: true
result is worse:
Some better results I got when I tried
feature-type: hahog, min-num-features: 40000, resize-to: -1
I’ve tested increasing neighbours matching:
auto-boundary: true, dsm: true, matcher-neighbors: 20, min-num-features: 30000, resize-to: -1, skip-3dmodel: true
I tested also split processing to motivate algorithm to find features in other places of area:
dsm: true, feature-type: hahog, min-num-features: 40000, resize-to: -1, split: 50, split-overlap: 10
Still I cannot create whole orthophoto. Could you give me some advice which parameters tune better? Should I try more splitting and merging images, is it recommended way of processing such data?