Hi everyone,
I'm looking for some guidance regarding Drone2Map's 3D mesh reconstruction workflow when combining an automated mapping mission with supplemental manual shots.
For context, our organization officially uses Drone2Map 2026.1.0 and SiteScan.
For this particular project, I felt the 3D mesh output could still be improved, especially in terms of facade details and overall completeness. As an additional benchmark, I used the DJI Terra free trial to see how another reconstruction engine would handle the exact same dataset.
The dataset was acquired using a DJI Matrice 4E and consisted of:
- An Oblique Mission
- Additional manual/oblique shots captured around the subject to improve facade coverage and capture finer details
I then processed the same image dataset using default settings in Drone2Map, SiteScan, and DJI Terra.
I observed that DJI Terra appeared to leverage the supplemental manual/oblique shots more effectively, resulting in a more detailed and complete 3D mesh.
Before concluding that this is simply a difference between reconstruction engines, I'd like to ask if I'm missing a recommended Drone2Map workflow or processing configuration.
Some questions I have:
- Is there a recommended workflow when combining an Oblique Mission with supplemental manual shots?
- Is there a preferred processing template for this type of dataset?
- Are there any special considerations or best practices when incorporating supplemental manual/oblique shots into a Drone2Map 3D mesh workflow?
I'll attach side-by-side comparison images (Drone2Map vs SiteScan vs DJI Terra).
Important: All outputs were generated using the exact same image dataset. No additional images were added or removed between software packages.
I'm not trying to determine which software is "better." My goal is to understand whether there are recommended Drone2Map settings or best practices that would allow it to better leverage supplemental manual imagery.
Any advice, workflow recommendations, or examples from your own projects would be greatly appreciated.
Thank you.