Laser & Infrared, Volume. 54, Issue 7, 1053(2024)

3D Modeling approach for tower buildings using multi-source LiDAR and UAV imagery

LI Si-qing1, LIU Jia-jia2, WANG Wei-peng3, DUAN Ping1, and LI Jia1、*
Author Affiliations
  • 1Department of Geography, Yunnan Normal University, Kunming 650500, China
  • 2Yunnan Electric Power Design Institute of China Energy Construction Group, Kunming 650051, China
  • 3Yunnan Real Estate Registry Centre, Kunming 650051, China
  • show less
    References(9)

    [3] [3] Namouchi S, Farah I R. Graph-based classification and urban modeling of laser scanning and imagery: toward 3D smart web services[J]. Remote Sensing, 2021, 14(1): 114.

    [4] [4] Hamid M, Ismail G, Kemal A, et al. UAV-enabled intelligent transportation systems for the smart city: applications and challenges[J]. IEEE Communications Magazine, 2017, 55(3): 22-28.

    [6] [6] Li J, Yao Y, Duan P, et al. Studies on three-dimensional (3D) modeling of UAV oblique imagery with the aid of loop-shooting[J]. ISPRS International Journal of Geo-Information, 2018, 7(9): 356.

    [7] [7] Kang J, Kim D, Lee C, et al. Efficiency study of combined UAS photogrammetry and terrestrial LiDAR in 3D modeling for maintenance and management of fill dams[J]. Remote Sensing, 2023, 15(8): 2026.

    [10] [10] Yuan L, Long Z, Yiping C, et al. 3D LiDAR and multi-technology collaboration for preservation of built heritage in China: A review[J]. International Journal of Applied Earth Observation and Geoinformation, 2023, 116.

    [11] [11] Michael K, Dominik L, Stefan S, et al. The Hessigheim 3D (H3D) benchmark on semantic segmentation of high-resolution 3D point clouds and textured meshes from UAV LiDAR and Multi-View-Stereo[J]. ISPRS Open Journal of Photogrammetry and Remote Sensing, 2021, 1.

    [12] [12] Liu W, Zang Y, Xiong Z, et al. 3D building model generation from MLS point cloud and 3D mesh using multi-source data fusion[J]. International Journal of Applied Earth Observation and Geoinformation, 2023, 116: 103171.

    [14] [14] Hu W, Hu R. Creating historical building models by deep fusion of multi-source heterogeneous data using residual 3D convolutional neural network[J]. International Journal of Architectural Heritage, 2023, 1: 1-17.

    [19] [19] Li P, Wang R, Wang Y, et al. Evaluation of the ICP algorithm in 3D point cloud registration[J]. IEEE Access, 2020, 8.

    Tools

    Get Citation

    Copy Citation Text

    LI Si-qing, LIU Jia-jia, WANG Wei-peng, DUAN Ping, LI Jia. 3D Modeling approach for tower buildings using multi-source LiDAR and UAV imagery[J]. Laser & Infrared, 2024, 54(7): 1053

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category:

    Received: Nov. 2, 2023

    Accepted: Apr. 30, 2025

    Published Online: Apr. 30, 2025

    The Author Email: LI Jia (keguigiser@163.com)

    DOI:10.3969/j.issn.1001-5078.2024.07.007

    Topics