Rapid and low cost ground displacement mapping using UAV photogrammetry

Mukhlisin, Muhammad; Astuti, Hany Windri; Kusumawardani, Rini; Wardihani, Eni Dwi

doi:10.1016/j.pce.2023.103367

Cited by 6 publications

(2 citation statements)

References 22 publications

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“…The applications that are developed in photogrammetry for surveying purposes, land construction or Scan-to-BIM in the field of archaeology have shown that GCPs greatly increase the accuracy of a dense point cloud [36]. Three targets with a black and white photogrammetric target are enough to establish a scale model, although it is already known that there are other parameters that can influence the quality of the point cloud in UAV photogrammetry, such as the flight height, the orientation of the camera in the flight plan process and the quality of the image that the drone gimbal has [37,38].…”

Section: Analysis Of the Deviation Between Photogrammetry Point Cloud...mentioning

confidence: 99%

Analysis and Precision of Light Detection and Ranging Sensors Integrated in Mobile Phones as a Framework for Registration of Ground Control Points for Unmanned Aerial Vehicles in the Scanning Technique for Building Information Modelling in Archaeological Sites

Moyano,

Nieto-Julián,

Fernández-Alconchel

et al. 2023

Drones

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The protection of heritage sites is one of the keys that our civilisation presents. That is why great efforts have been invested in order to protect and preserve movable and immovable property with a certain historical value, as is the case of archaeological sites scattered throughout the territory of southern Iberia (Spain) in the form of dolmens and negative structures dug into the ground, constituting a good sample of the megalithic culture in southern Spain. To study, manage and preserve these archaeological monuments, considered a set of cultural assets, various techniques and methodologies are required to facilitate the acquisition of three-dimensional geometric information. The Scan-to-BIM approach has become one of the most up-to-date work exponents to carry out these objectives. The appearance of LiDAR techniques, and recently their incorporation into smartphones through integrated sensors, is revolutionising the world of 3D scanning. However, the precision of these techniques is an issue that has yet to be addressed in the scientific community. That is why this research proposes a framework, through experimental measurement, comparison and knowledge of the limitations of this technology, to know the precision of the use of these smartphones, specifically the iPhone 13 Pro, as a measurement element to establish points of control with the aid of photogrammetry by unmanned aerial vehicles (UAVs) in archaeological sites. The results demonstrate a residual uncertainty of ±5 mm in the capture of GCPs from the mobile phone’s LiDAR light detection and ranging sensor, and there was a deviation of the measurements in a range between 0 and 28 m of distance between the GCPs of (0.021, 0.069) m.

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Section: Analysis Of the Deviation Between Photogrammetry Point Cloud...mentioning

confidence: 99%

Analysis and Precision of Light Detection and Ranging Sensors Integrated in Mobile Phones as a Framework for Registration of Ground Control Points for Unmanned Aerial Vehicles in the Scanning Technique for Building Information Modelling in Archaeological Sites

Moyano,

Nieto-Julián,

Fernández-Alconchel

et al. 2023

Drones

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show abstract

“…The obtained scan data showed favorable integrity in the lower part of the landslide, but only sparse data were available for the upper part [37]. Compared to TLS, in UAV photogrammetry, surface photos can be captured from multiple perspectives in the air, and this method achieves a significant advantage in data integrity, especially in mountainous and canyon areas [38][39][40]. However, there are accuracy issues with UAV photogrammetry.…”

Section: Introductionmentioning

confidence: 99%

A High-Precision Modeling and Error Analysis Method for Mountainous and Canyon Areas Based on TLS and UAV Photogrammetry

Luo,

Jiang,

et al. 2024

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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Obtaining comprehensive and accurate terrain data is important for engineering construction. Unmanned aerial vehicle (UAV) photogrammetry and terrestrial laser scanning (TLS) are two widely used terrain modeling techniques. In mountainous areas, both techniques suffer limitations. These limitations occur in uninhabited areas, primarily caused by the steep terrain and inconvenient transportation conditions, resulting in poor data integrity and inadequate accuracy in UAV and TLS terrain mapping. In this article, we proposed a fusion modeling method based on UAV photogrammetry and TLS for high-precision terrain mapping in mountainous and canyon areas. The proposed method entails the use of TLS data to provide additional control points for UAV modeling, resulting in an improved accuracy of the modeling results. In addition, to quantify the optimization effect of this method, we proposed a 3D model deviation comparison method based on the iterative closest point (ICP) algorithm. This method can be employed to accurately depict the differences in distance and rotation angle between multiple terrain models. We applied this method to the Yebatan hydropower station in Southwest China, which increased the accuracy of the terrain data by 26% and expanded the effective range by over 100%.

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Monitoring UAV status and detecting insulator faults in transmission lines with a new classifier based on aggregation votes between neural networks by interval type-2 TSK fuzzy system

Amiri,

Pourgholi,

Hashjin

et al. 2024

Soft Comput

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Rapid and low cost ground displacement mapping using UAV photogrammetry

Cited by 6 publications

References 22 publications

Analysis and Precision of Light Detection and Ranging Sensors Integrated in Mobile Phones as a Framework for Registration of Ground Control Points for Unmanned Aerial Vehicles in the Scanning Technique for Building Information Modelling in Archaeological Sites

Analysis and Precision of Light Detection and Ranging Sensors Integrated in Mobile Phones as a Framework for Registration of Ground Control Points for Unmanned Aerial Vehicles in the Scanning Technique for Building Information Modelling in Archaeological Sites

A High-Precision Modeling and Error Analysis Method for Mountainous and Canyon Areas Based on TLS and UAV Photogrammetry

Monitoring UAV status and detecting insulator faults in transmission lines with a new classifier based on aggregation votes between neural networks by interval type-2 TSK fuzzy system

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