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Unkalibrierte Bildzentren - Unvollständiges Orthomosaik

RajendraSishodia

Hallo

Beim Verarbeiten meiner Drohnenbilder zur Erstellung eines Orthomosaiks erhalte ich mehrere unkalibrierte Bildzentren, wie im untenstehenden Bild durch rote Punkte dargestellt, was zu einem unvollständigen Orthomosaik im Hintergrund führt. Ich habe verschiedene Optionen für die Verarbeitung ausprobiert, einschließlich variierender Tie Point Options - Initial Image Scale/Refine Adjustment/Matching Neighborhood. Jede Option lieferte unterschiedliche Zahlen unkalibrierter Punkte, aber nie ein vollständiges Ortho-Bild ohne unkalibrierte Bildzentren. Ich habe auch versucht, die Fix Image Locations für hochpräzises GPS zu verwenden, aber das hat ebenfalls nicht funktioniert. Für Vorschläge wäre ich dankbar – ich bin neu bei Drohnen und der D2M-Software.

Wir konnten mit einer anderen Drohnenbildverarbeitungssoftware ein vollständiges Ortho erhalten, daher nehme ich an, dass dies mit den ausgewählten Verarbeitungsoptionen zusammenhängt?

Vielen Dank

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MarkBarker1

Hi @RajendraSishodia ,

Based off your testing already with the various processing options and still not finding any success I think it would be best if I got a copy of the imagery to test on my end. Please let me know if you are able to share it out and I can get a shared folder going. You can email me directly if you would prefer: mbarker@esri.com

Thank you,

Mark

P√•l_Herman_Sund

Have seen troubles in forested areas with generating "true ortho' (ArcGIS Reality) vs more traditional ortho (which may be processed in ArcGIS Pro). Might be your.only option with D2M is 'more overlap' and/or combine vertical and oblique images. Looking forward to the findings of @MarkBarker1

AllixNorth

Good afternoon @MarkBarker1 ,

Were you able to resolve the original contributors issue? I am having the exact same issue with one of my projects. I have made changes (many iterations with adjustments) to dense matching, project resolution, image orientation, all aspects of tie point options, and even camera calibration. The imagery was also processed with another cloud based software and produced a complete product. Any help or guidance is appreciated.

Best,

Allix

MarkBarker1

Hi @AllixNorth ,

No, I didn't receive any imagery from the original poster. If you are open to sharing your flight imagery feel free to email me and I can setup a shared folder: mbarker@esri.com

Regards,

Mark

BradWollum

Hi Mark,

How do I share my project with you? I'm having the same issues as the original poster. I'm a high school teacher and my students and I are trying to figure this out.

EricBerg9

Hello,

Was a solution ever found for this? I mapped a large preserve with dense vegetation and the images above that vegetation become uncalibrated. Id love to learn how to fix this so I have a great ortho of the preserve.

P√•l_Herman_Sund

@EricBerg9 Good bringing this up again. Esri introduced recently a "challenging mode" for the triangulation which could contribute positively. Pretty computer intensive, lets hope @MarkBarker1 can share his findings 🙂

MarkBarker1

Hi @Pål_Herman_Sund & @EricBerg9 ,

I previously worked with Brad who shared his dataset and we came to the conclusion that there was insufficient overlap between images resulting in a lack of tie points. You can typically see this behavior depicted in the Cross matches graphic of the processing report. There are a lot of different factors that can cause dropped/uncalibrated images though. If you would like to share your processing report @EricBerg9 I can take a look and try to provide some suggestions.

Regards,

Mark

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