A Case Study of Deformation Measurements of Istanbul Land Walls via Terrestrial Laser Scanning

Batur, Maryna; Yılmaz, Onur; Özener, Haluk

doi:10.1109/jstars.2020.3031675

Cited by 17 publications

(6 citation statements)

References 34 publications

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“…5a-b). TLS is a remote sensing technology that uses laser beams to collect 3D spatial information from research targets in the environment [42]. TLS has strong stability, high precision, and strong penetration in vegetated areas.…”

Section: A Data Acquisitionmentioning

confidence: 99%

“…3D deformation analysis methods are usually based on point clouds or 3D meshes to calculate the distance between the points in the test group (after deformation) and the reference group (before deformation).The common approach for 3D deformation analysis is to transform the reference point cloud data into 3D reference meshes through methods such as the least square method, quadratic function method or Delaunay triangulation method and then calculate the shortest distance (SD) from the test point to the 3D reference mesh to describe the 3D deformation (Fig. 8a) [25], [33], [42]. The commonly used software for this method includes Geomagic Qualify and 3D Reshaper, etc.…”

Section: Deformation Analysesmentioning

confidence: 99%

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A Monitoring Method Integrating Terrestrial Laser Scanning and Unmanned Aerial Vehicles for Different Landslide Deformation Patterns

Jiang¹,

Li²,

Hu³

et al. 2021

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

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The three-dimensional deformation monitoring of landslides is very complex due to the uncertainty of movement direction and the difficulty in searching the corresponding points before and after deformation. In this study, a landslide deformation monitoring method based on the integration of Terrestrial Laser Scanning (TLS) and Unmanned Aerial Vehicles (UAVs) is presented. This method can quickly obtain highprecision and large-scale terrain information in the absence of sufficient ground control points (GCPs), and can accurately describe the real movement of landslides. The Real-Time Kinematic (RTK) and Post Processed Kinematic (PPK) are applied to localize the initial positions of TLS and UAV, respectively. The Iterative Closest Point (ICP) algorithm is applied to register the TLS and UAV point cloud data. Then, the RTKbased GCPs and TLS-based GCPs are obtained to improve the accuracy of UAV data. After that, 3D deformation analyses based on Shortest Distance (SD) method and horizontal deformation based on Difference of Orthophotos (DOO) are applied through point clouds and orthophotos. The proposed method is demonstrated by the monitoring a reactivated ancient landslide (Aniangzhai) in Danba County, Southwest China. The real deformation of the landslide has been validated with the registered TLS data. The results indicate that the downcutting of the riverbed and erosion to the slope toe caused by the dam break flood are the main reasons for the reactivation.

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Section: A Data Acquisitionmentioning

confidence: 99%

Section: Deformation Analysesmentioning

confidence: 99%

A Monitoring Method Integrating Terrestrial Laser Scanning and Unmanned Aerial Vehicles for Different Landslide Deformation Patterns

Jiang¹,

Li²,

Hu³

et al. 2021

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

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“…The structure of buildings and infrastructures could be deformed due to external factors such as winds, or earthquakes. Batur et al [8] performed a structural health assessment of historical structures using terrestrial laser scanning (TLS) technology. Structure from motion (SfM) photogrammetry reconstructs the 3D model using overlapping images captured from different viewpoints.…”

Section: Introductionmentioning

confidence: 99%

Enhanced three‐dimensional model reconstruction based on local ternary pattern‐guided fusion of multi‐exposure images

Chan

Leung

et al. 2023

IET Image Processing

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Computer vision applications usually rely on the features extracted from input images with good visibility. Image acquisition systems may produce degraded images with low contrast or distorted colours. For instance, bad weather (haze, fog) can cause images captured outdoor with low visibility. Image processing algorithms generally assume that the input image is the scene radiance. Haze removal, with the recovery of image radiance, ensures reliable features extracted from images and the image processing algorithm can achieve optimal performance. Inspired by the concept of image dehazing, the authors propose an image enhancement method that can be used to improve the visibility of the images. Each original image is first transformed into multiple exposure images by means of gamma‐correction operations and adaptive histogram equalization. The transformed images are analyzed by the computation of the local ternary pattern. The image is then enhanced, with each pixel generated from the set of transformed image pixels weighted by a function of the local pattern feature. The authors evaluate their proposed method on four benchmark image dehazing datasets. The quantitative results show that our method outperforms many deterministic algorithms and deep learning models. Moreover, the authors investigate the impact of image enhancement on a practical image‐based application—the reconstruction of three‐dimensional (3D) model of survey scene. Accurate 3D model reconstruction depends on high‐quality images. Degraded images will result in large errors in the reconstructed 3D model. Experimentations have been carried out on outdoor and indoor surveys. Our analysis finds that when fed into the photogrammetry software, the images enhanced by the authors’ method can reconstruct 3D scene models with sub‐millimetre mean errors, which are much better than those with the original images. As shown in the visual and quantitative results of 3D model reconstruction, the authors’ proposed method also outperforms other image enhancement methods.

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“…Its existence on the fault line makes Bosscha Observatory very vulnerable to disasters, which in the future will cause severe damage to the cultural heritage building. Because of the importance of cultural heritage buildings for the future, protection is needed to prevent damage and destruction (Batur et al, 2020;Chmutina et al, 2020). One way to protect the preservation of cultural heritage buildings is through digital documentation.…”

Section: Introductionmentioning

confidence: 99%

3D Modeling of Bosscha Observatory With TLS and UAV Integration Data

Kartini

Saputri

2022

Geoplanning J. Geomatics Plann.

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Terrestrial Laser Scanner is a tool capable of generating millions 3D points with mm accuracy, but upper structure is difficult to model. Unmanned Aerial Vehicle is an unmanned aircraft system technology that can provide structural data on buildings. Measurements with one technique can lead to unsatisfactory results, so an integration process is carried out to obtain a more accurate 3D model. The purpose of this research is to see the successful integration of TLS and UAV point cloud data for 3D modeling. The data used is secondary data from previous research. TLS and UAV data were processed with Agisoft Metashape and Cyclone in the same coordinate system. The integration process is carried out by aligning the same point cloud between the two data in CloudCompare with an RMSE of 25.60 mm. Validation is done by comparing the distance between the results of the 3D model with the actual conditions. The integrated 3D model can be implemented for the purposes of Bosscha Observatory 3D modeling.

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A Case Study of Deformation Measurements of Istanbul Land Walls via Terrestrial Laser Scanning

Cited by 17 publications

References 34 publications

A Monitoring Method Integrating Terrestrial Laser Scanning and Unmanned Aerial Vehicles for Different Landslide Deformation Patterns

A Monitoring Method Integrating Terrestrial Laser Scanning and Unmanned Aerial Vehicles for Different Landslide Deformation Patterns

Enhanced three‐dimensional model reconstruction based on local ternary pattern‐guided fusion of multi‐exposure images

3D Modeling of Bosscha Observatory With TLS and UAV Integration Data

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