Reconstruction of 3D Buildings Models and 3D Buildings Extraction from High-Resolution Geospatial Data

A special issue of Buildings (ISSN 2075-5309). This special issue belongs to the section "Construction Management, and Computers & Digitization".

Deadline for manuscript submissions: closed (31 December 2024) | Viewed by 2963

Special Issue Editors


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Guest Editor
Department of Civil Engineering, American University of Sharjah, Sharjah 26666, United Arab Emirates
Interests: GIS and mapping; applied remote sensing; spatial analysis; large-scale mapping; 3D GIS; LiDAR mapping
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Guest Editor
Geomatics Program, College of Engineering, New Mexico State University, Las Cruces, NM 88003, USA
Interests: geomatics; photogrammetry; remote sensing

Special Issue Information

Dear Colleagues,

Recently, there has been considerable demand for 3D building models in several applications, including the design and construction of infrastructure in the urban environment, 3D/city modeling, and building information modeling (BIM). Additionally, the availability of high-resolution, multi-source geospatial data, such as vertical and oblique terrestrial imagery, LIDAR data, UAV data, etc., has facilitated the high-quality reconstruction of 3D object models. Furthermore, this has led to the development of automated algorithms for the robust extraction of buildings from high-resolution imagery and LIDAR data.  

In this Special Issue, we aim to compile research articles that address various aspects of building extraction from high-resolution geospatial data, 3D building reconstruction, as well as building extraction from imagery and LIDAR data. Review contributions and papers describing new data/concepts are also welcomed.

Prof. Dr. Tarig Ali
Dr. Ahmed Elaksher
Guest Editors

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Buildings is an international peer-reviewed open access semimonthly journal published by MDPI.

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Keywords

  • building extraction
  • 3D building models
  • 3D/city modeling
  • geospatial data for BIM

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Published Papers (1 paper)

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Research

24 pages, 5918 KiB  
Article
Enhancing Engineering and Architectural Design Through Virtual Reality and Machine Learning Integration
by Ali Shehadeh and Odey Alshboul
Buildings 2025, 15(3), 328; https://doi.org/10.3390/buildings15030328 - 22 Jan 2025
Cited by 5 | Viewed by 2356
Abstract
This study introduces a framework that leverages the synergistic potential of Virtual Reality (VR) and Machine Learning (ML) to enhance graphical modeling in engineering and architectural design. Traditional clash detection methods in Building Information Modeling (BIM) systems are predominantly reactive, identifying discrepancies only [...] Read more.
This study introduces a framework that leverages the synergistic potential of Virtual Reality (VR) and Machine Learning (ML) to enhance graphical modeling in engineering and architectural design. Traditional clash detection methods in Building Information Modeling (BIM) systems are predominantly reactive, identifying discrepancies only after their occurrence, leading to costly and time-consuming design revisions. By integrating ML algorithms with VR-driven BIM, our approach proactively identifies and resolves clashes, as demonstrated across 28 diverse engineering projects. The results indicate a reduction in design clashes by 16% and iterative revisions by 15%, culminating in a 12% decrease in overall project timelines. This research underscores the transformative impact of combining VR and ML on additive manufacturing (AM) workflows, significantly improving efficiency and reducing the iterative nature of traditional methods. The findings highlight the framework’s scalability and adaptability, promising substantial advancements in engineering and architecture practices. Full article
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