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article · Alexandria Engineering Journal

3D laser scanning and close-range photogrammetry for buildings documentation: A hybrid technique towards a better accuracy

201985 citationsOpen accessKafr el-Sheikh University

In plain language

Digital documentation of complex structures often relies on separate surveying tools that vary in precision and coverage. By combining close-range photogrammetry, which generates digital smart point cloud meshes, with three-dimensional laser scanning, a hybrid formulation was established to improve documentation accuracy. Tested on the mosque on the Kafrelsheikh University campus, this combined approach was evaluated against traditional baseline measurements gathered using a total station. The integrated method achieved substantial improvements in measurement precision compared to standard practices, particularly when capturing geometric properties across building surfaces. Recorded accuracy enhancements reached 80.1 percent for feature point coordinates, 66.4 percent for linear features, and 84.2 percent for angular measurements. Consequently, combining laser scanning with close-range photogrammetry offers a superior alternative to traditional surveying techniques for capturing detailed architectural features.

Key takeaways

  • Combining close-range photogrammetry with laser scanning produces a hybrid method that delivers higher accuracy than traditional documentation tools.
  • Total station measurements were used as a baseline to evaluate surface geometry and the accuracy of alternative surveying techniques.
  • The hybrid approach increased surveying accuracy by 80.1 percent for point coordinates, 66.4 percent for lines, and 84.2 percent for angles.
  • The integrated technique is recommended over conventional surveying methods for detailed three-dimensional documentation of buildings.

Why it matters

Accurate architectural documentation is essential for maintaining, monitoring, and preserving buildings. Traditional surveying methods can be limited in precision and detail when recording complex geometric surfaces. Demonstrating that combining laser scanning with photogrammetry significantly improves spatial accuracy helps surveyors and engineers capture reliable digital models of physical structures with fewer measurement errors.

Commercialisation angle

This applied and tested methodology could benefit surveying firms, civil engineers, and infrastructure monitoring teams seeking higher-precision digital building records. By pairing laser scanning with close-range photogrammetry, service providers can deliver more accurate point cloud models of complex structures. The work represents an applied workflow demonstrated on an existing building, positioning it near practical adoption for architectural and engineering survey operations.

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Abstract

This paper presents a study of 3D digital documentation techniques for the mosque of kafrelsheikh University campus namely: Close Range Photogrammetry as a digital smart point cloud mesh production in comparison with laser scanning as an attempt to achieve a hybrid formulation as an improved technique for execute more accurate 3d features documentation, also CRP as measuring technique in comparison with the traditional technique which is total station. The total station was used to survey the geometry properties of the building surface which considered as a base in this study, in computational methods and operation fields have been illustrated in the manuscript. The hybrid technique showed the optimum achieved accuracy for 3D digital documentation which has been established based on measuring scanned values, for example the enhancement obtained in accuracy reached its submit in hybrid technique by (80.1, 66.4, and 84.2)% when surveying features point coordinates, lines, and angles, respectively based on a comparative study, the hybrid technique is recommended for surveying instead of traditional ones. Keywords: Total station, Photogrammetry, Laser scanner, Documentation, Surveying, Accuracy

Research topics

  • 3D Surveying and Cultural Heritage
  • Remote Sensing and LiDAR Applications
  • Infrastructure Maintenance and Monitoring

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DOI: 10.1016/j.aej.2019.10.003

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