IDEAS home Printed from https://ideas.repec.org/a/spr/ijsaem/v13y2022i1d10.1007_s13198-021-01458-4.html
   My bibliography  Save this article

Application of UAV tilt photogrammetry in 3D modeling of ancient buildings

Author

Listed:
  • Qiu Guo

    (Jinzhong Vocational and Technical College)

  • Hechun Liu

    (13th Construction Co., Ltd.)

  • Faez M. Hassan

    (Mustansiriyah University)

  • Mohammed Wasim Bhatt

    (Central University of Punjab)

  • Ahmed Mateen Buttar

    (University of Agriculture Faisalabad)

Abstract

The initiation of photogrammetry that arrived in late 90’s permitted the 3D stereoscopic vision for the acquirement of information. A number of methodologies were embraced by several researchers to discover the innumerable aspects of photogrammetry, digital photography and image processing. Among these technologies UAV addressed tools were also employed in fast capturing of substantial areas in the efficient time slot this method was used by conventional aircrafts for efficient capturing. The expansion of unmanned aerial vehicles (UAV) in various fields has expanded comprehensively towards 3D modeling of ancient buildings. This expansion leads to the burden of obtaining highly precise information at multi-angle level and it becomes difficult for traditional technology to solve the 3D reconstruction problems of ancient buildings. To solve the problem of high precision 3D information acquisition and multi-angle real texture feature acquisition, this article proposes a new method of 3D reconstruction of ancient buildings combined with 3D laser scanning and tilt photogrammetry. The new method modifies the advantages of the two technologies and uses the feature point matching algorithm to realize the accurate fusion of multisource data, to gather the construction of a complete three-dimensional model inside and outside the ancient building. Considering the traditional ancestral hall of China as an example, the relative median error is computed for the constructed3D model, which is found to be minimized to 5 mm. The modeling efficiency is greatly improved by the proposed method when compared with the traditional method. The accuracy is relatively high and meets the requirements of modeling accuracy. Because the 3D model, elevation data of ancient buildings constructed in this study are derived from high precision point cloud data extraction. The accuracy of the model can also reach the millimeter level from the calculation results of error and relative middle error. Therefore, the 3D model constructed in this study has a high accuracy. It is revealed that this method provides significant technical support for the restoration and protection of ancient architectural cultural heritage.

Suggested Citation

  • Qiu Guo & Hechun Liu & Faez M. Hassan & Mohammed Wasim Bhatt & Ahmed Mateen Buttar, 2022. "Application of UAV tilt photogrammetry in 3D modeling of ancient buildings," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(1), pages 424-436, March.
    • Handle: RePEc:spr:ijsaem:v:13:y:2022:i:1:d:10.1007_s13198-021-01458-4
    DOI: 10.1007/s13198-021-01458-4
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s13198-021-01458-4
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s13198-021-01458-4?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Xiaogeng Ren & Chunwang Li & Xiaojun Ma & Fuxiang Chen & Haoyu Wang & Ashutosh Sharma & Gurjot Singh Gaba & Mehedi Masud, 2021. "Design of Multi-Information Fusion Based Intelligent Electrical Fire Detection System for Green Buildings," Sustainability, MDPI, vol. 13(6), pages 1-15, March.
    2. Chirag Sharma & Amandeep Bagga & Bhupesh Kumar Singh & Mohammad Shabaz, 2021. "A Novel Optimized Graph-Based Transform Watermarking Technique to Address Security Issues in Real-Time Application," Mathematical Problems in Engineering, Hindawi, vol. 2021, pages 1-27, April.
    3. Deepak Thakur & Jaiteg Singh & Gaurav Dhiman & Mohammad Shabaz & Tanya Gera & Long Wang, 2021. "Identifying Major Research Areas and Minor Research Themes of Android Malware Analysis and Detection Field Using LSA," Complexity, Hindawi, vol. 2021, pages 1-28, September.
    4. Carmen Marín-Buzón & Antonio Pérez-Romero & José Luis López-Castro & Imed Ben Jerbania & Francisco Manzano-Agugliaro, 2021. "Photogrammetry as a New Scientific Tool in Archaeology: Worldwide Research Trends," Sustainability, MDPI, vol. 13(9), pages 1-27, May.
    5. Amit Sookoo & Lalit Garg & Chinmay Chakraborty, 2021. "Improvement of system performance in an IT production support environment," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 12(3), pages 461-479, June.
    6. Iñigo Leon & José Javier Pérez & María Senderos, 2020. "Advanced Techniques for Fast and Accurate Heritage Digitisation in Multiple Case Studies," Sustainability, MDPI, vol. 12(15), pages 1-29, July.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Gurpreet Singh Panesar & Kuldeep Narayan Tripathi & Jyoti L. Bangare & Rahul Neware & Skanda Moda Gururajarao, 2022. "Handling research issues for big data extraction in the application of Internet of Vehicles (IoV)," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(1), pages 751-756, March.
    2. Guoyong Wang & Lokanayaki Karnan & Faez M. Hassan, 2022. "Face feature point detection based on nonlinear high-dimensional space," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(1), pages 312-321, March.
    3. María del Carmen Vílchez-Lara & Jorge Gabriel Molinero-Sánchez & Concepción Rodríguez-Moreno, 2021. "Methodology for Documentation and Sustainability of Cultural Heritage Landscapes: The Case of the Tajos de Alhama (Granada, Spain)," Sustainability, MDPI, vol. 13(23), pages 1-27, November.
    4. Fei Peng & Yanmei Wang & Haiyang Xuan & Tien V. T. Nguyen, 2022. "Efficient road traffic anti-collision warning system based on fuzzy nonlinear programming," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(1), pages 456-461, March.
    5. Sugumar Mohanasundaram & Edwin Ramirez-Asis & Angel Quispe-Talla & Mohammed Wasim Bhatt & Mohammad Shabaz, 2022. "Experimental replacement of hops by mango in beer: production and comparison of total phenolics, flavonoids, minerals, carbohydrates, proteins and toxic substances," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(1), pages 132-145, March.
    6. Nicodemo Abate & Diego Ronchi & Valentino Vitale & Nicola Masini & Andrea Angelini & Francesco Giuri & Antonio Minervino Amodio & Andrea Maria Gennaro & Daniele Ferdani, 2023. "Integrated Close Range Remote Sensing Techniques for Detecting, Documenting, and Interpreting Lost Medieval Settlements under Canopy: The Case of Altanum (RC, Italy)," Land, MDPI, vol. 12(2), pages 1-24, January.
    7. Abdallah E. Elwakeel & Yasser S. A. Mazrou & Aml A. Tantawy & Abdelaziz M. Okasha & Adel H. Elmetwalli & Salah Elsayed & Abeer H. Makhlouf, 2023. "Designing, Optimizing, and Validating a Low-Cost, Multi-Purpose, Automatic System-Based RGB Color Sensor for Sorting Fruits," Agriculture, MDPI, vol. 13(9), pages 1-19, September.
    8. Tomáš Loveček & Lenka Straková & Katarína Kampová, 2021. "Modeling and Simulation as Tools to Increase the Protection of Critical Infrastructure and the Sustainability of the Provision of Essential Needs of Citizens," Sustainability, MDPI, vol. 13(11), pages 1-18, May.
    9. Xiaofei Huang & Vishal Jagota & Einer Espinoza-Muñoz & Judith Flores-Albornoz, 2022. "Tourist hot spots prediction model based on optimized neural network algorithm," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(1), pages 63-71, March.
    10. Cecile Meier & Isabel Sanchez Berriel & Fernando Pérez Nava, 2021. "Creation of a Virtual Museum for the Dissemination of 3D Models of Historical Clothing," Sustainability, MDPI, vol. 13(22), pages 1-13, November.
    11. Wenzhong Xia & Rahul Neware & S. Deva Kumar & Dimitrios A. Karras & Ali Rizwan, 2022. "An optimization technique for intrusion detection of industrial control network vulnerabilities based on BP neural network," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(1), pages 576-582, March.
    12. Ashok Kumar Tripathi & Hemraj Saini & Geetanjali Rathee, 2022. "Futuristic Prediction of Missing Value Imputation Methods Using Extended ANN," International Journal of Business Analytics (IJBAN), IGI Global, vol. 9(3), pages 1-12, July.
    13. Alim Al Ayub Ahmed & Arumugam Mahalakshmi & K. ArulRajan & Joel Alanya-Beltran & Mohd Naved, 2023. "Integrated artificial intelligence effect on crisis management and lean production: structural equation modelling frame work," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 14(1), pages 220-227, February.
    14. Yuheng Chen & Yanming Wu & Xueyun Sun & Naubada Ali & Qi Zhou, 2023. "Digital Documentation and Conservation of Architectural Heritage Information: An Application in Modern Chinese Architecture," Sustainability, MDPI, vol. 15(9), pages 1-23, April.
    15. Carmen Marín-Buzón & Antonio Pérez-Romero & José Luis López-Castro & Imed Ben Jerbania & Francisco Manzano-Agugliaro, 2021. "Photogrammetry as a New Scientific Tool in Archaeology: Worldwide Research Trends," Sustainability, MDPI, vol. 13(9), pages 1-27, May.
    16. Iñigo Leon & Maialen Sagarna & Fernando Mora & Juan Pedro Otaduy, 2021. "BIM Application for Sustainable Teaching Environment and Solutions in the Context of COVID-19," Sustainability, MDPI, vol. 13(9), pages 1-29, April.
    17. Anshul Gupta & Pravin Srinath, 2022. "A recommender system based on collaborative filtering, graph theory using HMM based similarity measures," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(1), pages 533-545, March.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:ijsaem:v:13:y:2022:i:1:d:10.1007_s13198-021-01458-4. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.