The use of elevation adjusted ground control points for aerial triangulation in coastal areas

Kim, Baeck Oon; Yun, Kong-Hyun; Lee, Chang-Kyung

doi:10.1007/s12205-014-0390-9

Cited by 7 publications

(4 citation statements)

References 5 publications

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“…Since the point cloud sets are the core of TLS and UAV integration, the aerial triangulation that determines the density and accuracy of the UAV point clouds is of significant importance for the subsequent deformation analysis. The quality of aerial triangulation is largely affected by the accuracy, number and distribution of GCPs, and the registration of TLS and UAVs data cannot meet ideal level if the UAV point cloud data were twisted, stretched, or compressed due to the lack of GCPs [48]. In this study, except for the basic GCPs from RTK, we manually extracted obvious feature points, such as building corners, wire poles or other landmarks as T-GCPs from the well registered TLS data (Figs.…”

Section: B Integration Of Tls and Uavmentioning

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 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: B Integration Of Tls and Uavmentioning

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 literature includes various studies conducted on various different terrain classes and different block analyses for tackling the current problems. The examples of such studies include the mid and small scale projects based on weak patterned aerial photographs captured in deserts under extremely hot and hazy weather conditions [18], the influence of arid environmental conditions on systematic image errors (by using ground control and check points) [9], block adjustment studies on coastal areas where ground control points could scarcely be established or not established at all [17,29]. The purpose of this study is to study the influence of point distribution configurations on block adjustment within the blocks that are formed in various terrain classes such as forestlands, residential and agricultural areas.…”

Section: Introductionmentioning

confidence: 99%

Accuracy Analysis of Control Point Distribution for Different Terrain Types on Photogrammetric Block

Guntel¹,

Karabörk

Karasaka

2018

Teh. vjesn.

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Since the digital orthoimage and orthomosaic maps have come to be used more and more as the fundamental basis for many studies, the demand for such products has been gradually increasing in the recent years. Owing to the fact that they can be produced more rapidly and cheaper than the traditional topographic maps, the orthoimage maps are currently much in demand. The production accuracy of the orthoimage maps, obtained through aerial photographs or satellite images, has been an important research topic. The number and distribution of the ground control points have a significant bearing on the accuracy of aerial triangulation. Therefore, the accuracy of the orthoimage maps, being the end products, is related to the number and distribution of the ground control points within the block. This study has aimed to study the influence of the number and distribution of ground control points and check points on the accuracy of aerial triangulation by using different GNSS/IMU systems. Five different configurations have been designed depending on the distribution of the ground control and check points within rectangular shaped blocks in different combinations and numbers. Such configurations were then tested in different types of terrain such as forest lands, residential and agricultural areas. The objective of the study was to identify the most ideal geodesic structure and the most accurate photogrammetric triangulation adjustment suitable for various different systems based on such terrain classification. The results were evaluated based on the ASPRS accuracy standards.

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“…DAT has been used to facilitate research in many fields, such as forestry, land cover change, coastal management, and agriculture (Okuda et al 2003;Turner et al 2012;Kim et al 2014;Grenzdörffer 2014). However, it has not been applied to pavement surface 3D reconstruction to permit the assessment of rutting depth.…”

Section: Introductionmentioning

confidence: 99%

Pavement Surface Permanent Deformation Detection and Assessment Based on Digital Aerial Triangulation

Zhang¹,

Bogus²,

Lippitt³

2015

Computing in Civil Engineering 2015

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Pavement surface distress information is essential to pavement management. Assessment of surface permanent deformation is particularly important given pavement's ubiquitous use and that permanent deformation significantly influences its integrity and performance. However, current assessment methods are expensive, labor-intensive, time-consuming, and potentially dangerous to inspectors. Digital aerial triangulation (DAT) and unmanned airborne systems (UAS) provide a new method for detecting and assessing permanent deformation that hold potential to overcome these limitations. Using hyperspatial resolution multispectral digital aerial photography (HRM-DAP) acquired from an UAS as input, DAT was employed to generate digital surface models (DSMs) of the pavement surface. Permanent deformation distress estimates extracted from these DSMs were compared to ground reference data collected using standard protocols via orthogonal regression analysis. The results show that the aerial triangulation of HRM-DAP provides consistent and reliable data for permanent deformation detection and assessment.

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The use of elevation adjusted ground control points for aerial triangulation in coastal areas

Cited by 7 publications

References 5 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

Accuracy Analysis of Control Point Distribution for Different Terrain Types on Photogrammetric Block

Pavement Surface Permanent Deformation Detection and Assessment Based on Digital Aerial Triangulation

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