New semi-automatic 3D registration method for terrestrial laser scanning data of bridge structures based on artificial neural networks

Serwa, A.; Saleh, Mahdi

doi:10.1016/j.ejrs.2021.06.003

Cited by 8 publications

(5 citation statements)

References 7 publications

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“…Sedek and Serwa [19] developed a semiautomatic approach for forming and processing laser sensing data of trusses using ANN. Serwa and Saleh [20] developed a software applying neural network and proposed a semiautomatic three-dimensional registration method for laser scanning data of bridge structure ground. Ahmed Nabil et al [21] developed the microanalysis of the bituminous mixtures using the 2D scanner and image analysis techniques (IAT).…”

Section: Introductionmentioning

confidence: 99%

A New Method for the Compaction Quality Inspection of High Rockfill Dams Based on 3D Laser Scanning Technology

Yao,

Wu,

et al. 2024

Structural Control and Health Monitoring

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The compaction quality is directly related to the deformation and stability of the rockfill dam. Measuring the test pit volume efficiently and accurately is the most critical step during the compaction quality inspection. A new method for calculating the test pit volume based on point cloud data is proposed. An auxiliary device that can change the scanning distance and angle of the handheld 3D laser scanner is developed to collect the initial point cloud. The segmentation method of the initial point cloud data including the test pit and the compaction surface outside the pit is to divide the data into two parts according to the order number of the segmentation point, after slicing and sorting point clouds, which is the key to ensuring the computational precision. The segmentation points are the adjacent two points with the greatest order number difference in these point clouds whose distance from the line connecting the end points of the slicing point clouds is less than dz. The compaction surface point clouds are used to construct a plane by the least-squares algorithm so that the closed three-dimensional model is formed by registering it with the test pit point clouds. After converting the test pit surface to the horizontal plane by the Rodrigues formula, the test pit point clouds are divided into n2 parts with equal projection areas on the horizontal plane, and n2 prisms are constructed using them and their projection areas. The test pit volume is the sum of the intersection space volumes of all prisms and the test pit model, and the intersection space is determined by comparing the Z-values of point clouds. The new method was programmed in MATLAB and applied to the Shuangjiangkou rockfill dam with a height of 315 m. The relative error of volume results between the new method and the old water-filling method is 0.14–2.31%. The cause of the error is analyzed, and it is proved that the results of the new method are closer to the real volume of the test pit in theory. This method reduces the inspection cost but greatly improves the level of precision, efficiency, and intelligence for compaction quality inspection.

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Section: Introductionmentioning

confidence: 99%

A New Method for the Compaction Quality Inspection of High Rockfill Dams Based on 3D Laser Scanning Technology

Yao,

Wu,

et al. 2024

Structural Control and Health Monitoring

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“…In particular, the information stored in the RDB is automatically made available in GIS and allows the automatic generation of preliminary BIM models, which can be enriched with multi-source data derived from the use of the latest technologies. These include (i) sensing techniques, e.g., sensors [25,26] and laser scanners [27][28][29], useful in the phase of geometric characterization of the artefact and identification of its state of damage; (ii) space-based techniques such as interferometric synthetic aperture radar (InSAR) [30][31][32][33], enabling the measurement of millimetre settlements of the structure and the souring area; and (iii) analytical models, such as mechanical models [34,35], machine learning models [36][37][38], and multi-level monitoring algorithms [39][40][41][42]. Compared to existing literature, the methodology intends to enrich BIM models and GIS representation with information on the defect level of individual structural elements of a bridge and the attention class of the entire structure according to an algorithm in which the relational DB plays a central role.…”

Section: Introductionmentioning

confidence: 99%

An Integrated Data-Driven System for Digital Bridge Management

Pallante,

Meriggi,

D’Amico

et al. 2024

Buildings

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Relational databases are established and widespread tools for storing and managing information. The efficient collection of information in a database appears to be a promising solution for bridge management (BM), thus facilitating the digital transition. The Italian regulatory framework on infrastructure operation and maintenance (O&M) is complex and is constantly being updated. The current plan for implementing its guidelines envisages that infrastructure managers, also on a regional scale, equip themselves with their own digital database for BM. Within this context, this research proposes an integrated methodology that collects information derived from project documentation, in situ inspections, digital surveys, and monitoring and field tests in a queryable database for digitalising, georeferencing, and creating models of many bridges. Structured query language (SQL) statements are used to efficiently export specific shared information, enabling network cross-analysis. Furthermore, the database represents the source of a geographic information system (GIS) catalogue and the basis for deriving models for building information modelling (BIM). The methodology focuses on the infrastructural context of the Lazio region, Italy, the first beneficiary of the research.

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“…Fusing different remote sensing data types (active and passive) can improve the performance of any spatial system [Serwa and Saleh, 2021]. The world is developing fast the motion Toward urbanization is built mainly through updating the texture maps [Seto et al, 2012;Sun et al, 2007].…”

Section: Introductionmentioning

confidence: 99%

“…Multispectral satellite images are more general than optical ones due to the variety of spectral resolutions and bands [Serwa and Elbialy, 2021]. Using active sensing data perfectly performs to obtain spatial data [Serwa and Saleh, 2021]. Monitoring surface situations using radar equipment has a different view and provides several states for feature recognition [Alves et al, 2020;Leiva-Murillo et al, 2013].…”

Section: Introductionmentioning

confidence: 99%

Integrating Passive and Active Remote Sensing Data with Spatial Filters for Urban Growth Analysis in Urmia, Iran

Isazade,

Qasimi

et al. 2023

Russian Journal of Earth Sciences

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Active remote sensing and related technologies are one of the new tools recently used to monitor complications and urban growth. This research aims to investigate the effect of spatial filters on urban complications. The aim of this paper is to compare Lee, Frost and Average spatial filters with Landsat 8 satellite images and radar images with HH/HV polarization to investigate and identify urban features in the west of Urmia City. The results showed that Filterelli with the kernel 3 x 3 had reduced the spike noise in Alus Palsard satellite radar images in identifying the growth of urban tolls. Also, the results of K-means classification, the Lee filter with kernel size 3 x 3 more accurately identifies the urban features of the west of Urmia City. The kappa coefficient was 0.96%, and the overall accuracy of this filter was 97.36%. Therefore, Lee’s spatial filter has successfully identified the urban features of west Urmia with high accuracy. This system can be implemented in any other field due to its generality and reliability. This system may be a step towards remote sensing automation.

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New semi-automatic 3D registration method for terrestrial laser scanning data of bridge structures based on artificial neural networks

Cited by 8 publications

References 7 publications

A New Method for the Compaction Quality Inspection of High Rockfill Dams Based on 3D Laser Scanning Technology

A New Method for the Compaction Quality Inspection of High Rockfill Dams Based on 3D Laser Scanning Technology

An Integrated Data-Driven System for Digital Bridge Management

Integrating Passive and Active Remote Sensing Data with Spatial Filters for Urban Growth Analysis in Urmia, Iran

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