We need some help how to fix this problem. Terrain is sand. Thank you.
MASDAR-quality_report_X.pdf (3.0 MB)
here’s the quality report by the way
Hello @abdulrazak.mohammed11
Have you tried using the Flat scene low texture template and the low texture planar pipeline? These were specifically created for flat and homogenous areas (like sand area as you mentioned).
I also recommend you take a look at this article explaining the main reason for uncalibrated images and the most common ways to resolve this. This article was created for PIX4Dmapper but the same principles apply for PIX4Dmatic.
Best regards,
Spachos
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Hi, Spachos. Maybe this issue came because of our data set is containing of PPK and Non-PPK image data set processed in 1 project. What are your recommendations to process with this kind of data sets? Thank you for you support.
Hello,
Now this makes more sense, thank you for clarifying.
In that case, may I recommend you to use the Merge feature of PIX4Dmatic?
Basically, you calibrate them separately for optimal results and then you merge the two calibrated projects for even better results.
If you give this a try, let us know if it worked as expected and the results are better.
Best regards,
Spachos
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Thank you for your reply, Spachos. If we’re going to merge separately after calibration, do we need to apply the GCPs separately on each dataset before merging them? Also, can we merge 3 data sets to lower the processing time?
Thank you for your reply, Spachos. If we’re going to merge separately after calibration, do we need to apply the GCPs separately on each dataset before merging them? Also, can we merge 3 data sets to lower the processing time?
Hello @abdulrazak.mohammed11
The GCPs are optional but we recommend them to improve the Merge process. If you do want to use them, the recommend workflow would be:
[Project 1]
- Import images
- Import GCPs
- Run Calibration
- Mark GCPs
- Run Reoptimization
- Save project
Repeat the same for [Project 2] separately
Please note that it is recommended to have at least 3 shared Tie points (GCPs if possible) between the projects.
Unfortunately it not possible to merge 3 projects at the same time. To merge 3 projects you have to merge:
[Project 1] + [Project 2] = Project A
[Project A] + [Project 3] = final merged project containing all 3 projects.
I hope this helps you.
Best regards,
Spachos
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Hi, Spachos! We’re having a problem right now. We tried this workflow before. We separated this certain area from those areas who have calibrated cameras. This area consists of uncalibrated cameras. After importing these images, the calibration failed. Please help us on how to fix this one. Thank you so much.
Hello,
Can you share with me the log file of this attempt on your project so I can see where the calibration fails exactly? Have you tried with 1/2 image scale?
Best,
Spachos