Photogrammetry Statistics


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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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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

How Useful is Photogrammetry

One of the key benefits of photogrammetry is its ability to capture precise measurements and intricate details without the need for expensive equipment or extensive training. By simply taking photos from different perspectives, photogrammetry software can analytically compute the spatial relationships between objects, resulting in highly accurate 3D models and point clouds. This not only saves time and money but also reduces the margin of error inherent in traditional surveying methods.

Furthermore, photogrammetry allows for the efficient documentation of historical sites, cultural heritage, and environmental changes. Archaeologists can create detailed maps of excavated areas, preserving invaluable information about ancient civilizations. Architects and engineers can accurately measure and model structures to plan renovations or analyze structural stability. Environmental scientists can monitor changes in landscapes and ecosystems over time, helping to inform conservation efforts and sustainable development practices.

The applications of photogrammetry are extensive and continue to expand as technology advances. With the widespread use of drones equipped with high-resolution cameras, photogrammetry has become even more accessible and versatile. Aerial photogrammetry can provide a birds-eye view of large areas, allowing for efficient mapping and monitoring of terrain, infrastructure, and vegetation. This has proven to be particularly beneficial in disaster response and urban planning, where quick and accurate assessments are crucial.

In addition to its practical applications, photogrammetry has also opened up new possibilities in fields such as virtual reality, gaming, and animation. By creating realistic 3D models of objects and environments, photogrammetry has enhanced the visual quality and immersive experiences in these digital platforms. Artists and designers can use photogrammetry to recreate real-world objects and landscapes with remarkable precision, blurring the lines between the digital and physical worlds.

Despite its many advantages, photogrammetry is not without its limitations. Factors such as lighting, camera quality, and image resolution can affect the accuracy of photogrammetric models. Additionally, complex geometric features or reflective surfaces may pose challenges in processing images and creating accurate 3D reconstructions. It is important for users to understand the strengths and limitations of photogrammetry to ensure the quality and reliability of their results.

Overall, the usefulness of photogrammetry cannot be overstated. This innovative technology has proven to be an invaluable tool in a wide range of industries, offering efficiency, accuracy, and versatility in data collection and analysis. As technology continues to evolve and improve, the applications of photogrammetry will only continue to grow, providing endless possibilities for innovation and discovery.

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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