Photogrammetry Statistics 2023
– Everything You Need to Know

Last Updated on by | Reviewed by Editorial Staff

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Photogrammetry Statistics 2023: Facts about Photogrammetry outlines the context of what’s happening in the tech world.

LLCBuddy editorial team did hours of research, collected all important statistics on Photogrammetry, and shared those on this page. Our editorial team proofread these to make the data as accurate as possible. We believe you don’t need to check any other resources on the web for the same. You should get everything here only 🙂

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On this page, you’ll learn about the following:

Top Photogrammetry Statistics 2023

☰ Use “CTRL+F” to quickly find statistics. There are total 12 Photogrammetry Statistics on this page 🙂

Photogrammetry “Latest” Statistics

  • Photos taken in a sequence should overlap by at least 60% – if there is meager overlap, the model will not develop correctly or at all.[1]
  • Four points representing 17.4% of the H-dataset data in the DAM slope were deleted from the total of 23 points utilized for validation.[2]
  • From 2020 to 2030, the employment of cartographers and photogrammetrists is anticipated to increase by 5%, which is a slower rate than the national average for all professions.[2]
  • The kinetic energy of the fragments is comprised of 12% –24% of the absorbed energy, and the fraction climbs as the strain rate increases.[2]
  • The slope was greater than 40% and the checkpoints placed in the model’s border occurred at low precision due to the interpolation methods during the photogrammetric reconstruction.[2]
  • Camera positions are assessed by matching related features in pairs of images involving 60% to 80% of scene overlap and less than 30º between the images.[2]
  • From 2021 to 2031, the employment of cartographers and photogrammetrists is anticipated to increase by 3%, albeit more slowly than the average for all professions.[3]
  • SfM has significant promise for forest mapping in underdeveloped nations since more than half of the world’s forest-covered regions have a canopy cover of 50%.[4]
  • Given a confidence level of 5% and 22 degrees of freedom, the findings suggest that there is a trend in the E-N discrepancies, suggesting systemic mistakes that may be investigated further using circular statistic approaches.[5]
  • Due to the interpolation techniques used during the photogrammetric reconstruction, the slope was larger than 40%, and the checkpoints situated in the model’s boundary produced poor accuracy.[5]
  • With at least 90% confidence and 22 degrees of freedom, the ortho mosaic fit in Class D on a scale of 1:2,000 and in Class B on a scale of 1:5000.[5]
  • Accuracy-checking standards presume that at least 90% of the data goes down within a range of the mean plus two times the standard deviation.[5]

Also Read

Reference

  1. wiley – https://onlinelibrary.wiley.com/doi/10.1111/phor.12299
  2. webinarcare – https://webinarcare.com/best-photogrammetry-software/photogrammetry-statistics/
  3. bls – https://www.bls.gov/ooh/architecture-and-engineering/cartographers-and-photogrammetrists.htm
  4. mdpi – https://www.mdpi.com/1999-4907/8/3/68
  5. tandfonline – https://www.tandfonline.com/doi/full/10.1080/22797254.2020.1717998

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