[Home ] [Archive]   [ فارسی ]  
:: Main :: About :: Current Issue :: Archive :: Search :: Submit :: Contact ::
Main Menu
Journal Information::
Articles archive::
For Authors::
For Reviewers::
Contact us::
Site Facilities::
Search in website

Advanced Search
Receive site information
Enter your Email in the following box to receive the site news and information.
:: Volume 8, Issue 4 (3-2021) ::
jgit 2021, 8(4): 103-127 Back to browse issues page
Bridge Modeling using Segmentation of Point Cloud Captured from Photogrammetric UAV
Mansour Mehranfar , Hossein Arefi * , Fatemeh Alidoost
University of Tehran
Abstract:   (2964 Views)
In recent years, great efforts have been made to generate 3D models of urban structures in photogrammetry and remote sensing. 3D reconstruction of the bridge, as one of the most important urban structures in transportation systems, has been neglected because of its geometric and structural complexity. Due to the UAV technology development in spatial data acquisition, in this study, the point clouds generated from UAV-based images are used for 3D modeling of the four main elements of a bridge structure, including the railing, body, base and abutment elements. For this, a knowledge-based algorithm is proposed to provide 3D models of different types of bridge structures in GIS-based data format using the knowledge in the shape, structure and geometric relationships between the bridge’s elements. First, the fuzzy c-means clustering method including height and spectral values as well as point-based features such as the 3D density, normal vectors ​​and planarity is used to segment the point cloud. Next, a projection-based reconstruction technique, which is developed based on the geometric and structural features of each bridge element, is proposed to generate a 3D model for that element. The proposed reconstruction workflow includes the projection of point clouds to a 2D space, fitting the primitive geometric models to 2D points, locating the primitive coordinates of the models in the 2D space, and then developing 2D models into 3D space. To evaluate the proposed method, the dimensions of the structural elements in the bridge design plans are compared with the dimensions of the elements in the generated 3D model. Despite the many challenges in modeling steps, the results of this study indicate a high accuracy and ability for the proposed algorithm in 3D modeling of bridges with different geometry and designs, with a mean error and a standard deviation of about 3 cm and 1cm, respectively.
Keywords: Photogrammetry, 3D Modelling, Bridge, Projection-based Algorithm, UAV Point Cloud.
Full-Text [PDF 2207 kb]   (1154 Downloads)    
Type of Study: Research | Subject: Aerial Photogrammetry
Received: 2020/12/19 | Accepted: 2021/04/19 | Published: 2021/04/20
Send email to the article author

XML   Persian Abstract   Print

Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Mehranfar M, Arefi H, Alidoost F. Bridge Modeling using Segmentation of Point Cloud Captured from Photogrammetric UAV. jgit 2021; 8 (4) :103-127
URL: http://jgit.kntu.ac.ir/article-1-810-en.html

Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Volume 8, Issue 4 (3-2021) Back to browse issues page
نشریه علمی-پژوهشی مهندسی فناوری اطلاعات مکانی Engineering Journal of Geospatial Information Technology
Persian site map - English site map - Created in 0.05 seconds with 36 queries by YEKTAWEB 4657