Laser & Optoelectronics Progress, Volume. 62, Issue 6, 0615014(2025)

Three-Dimensional Reconstruction Model for Unmanned Aerial Vehicle Images Combining Spatial Geometric Information and Global Features

Qiming Jin1,2、*, Feng Wang3,4, Juanjuan Yang3,5, Yang Pang3,4, and Jianwu Dang1,2
Author Affiliations
  • 1School of Electronic and Information Engineering, Lanzhou Jiaotong University, Lanzhou 730070, Gansu , China
  • 2National Virtual Simulation Experiment Teaching Center for Rail Transit Information and Control, Lanzhou 730070, Gansu , China
  • 3Gansu Luqiao Feiyu Transportation Facilities Co. Ltd., Lanzhou 730070, Gansu , China
  • 4Gansu Xinnetcom Technology Information Co., Ltd., Lanzhou 730070, Gansu , China
  • 5Gansu Provincial Highway Transportation Construction Group Co., Ltd., Lanzhou 730070, Gansu , China
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    References(27)

    [1] Jiang S, Ma Y C, Li Q Q et al. Parallel SfM-based 3D reconstruction for unordered UAV images[J]. Acta Geodaetica et Cartographica Sinica, 53, 946-958(2024).

    [2] Huang J J, Xu F, Luo L et al. Three-dimensional reconstruction of ocean waves based on mask and self-supervised learning[J]. Laser & Optoelectronics Progress, 61, 1437008(2024).

    [11] DeTone D, Malisiewicz T, Rabinovich A. self-supervised interest point detection and description[C], 337-33712(SuperPoint).

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    Qiming Jin, Feng Wang, Juanjuan Yang, Yang Pang, Jianwu Dang. Three-Dimensional Reconstruction Model for Unmanned Aerial Vehicle Images Combining Spatial Geometric Information and Global Features[J]. Laser & Optoelectronics Progress, 2025, 62(6): 0615014

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    Paper Information

    Category: Machine Vision

    Received: Jul. 25, 2024

    Accepted: Sep. 10, 2024

    Published Online: Mar. 13, 2025

    The Author Email:

    DOI:10.3788/LOP241743

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