Bulletin of Surveying and Mapping ›› 2026, Vol. 0 ›› Issue (10): 80-85,91.doi: 10.13474/j.cnki.11-2246.2026.1012

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A 3D Gaussian splatting modeling method based on aerial and ground image collaboration

Cui Yang1,2, Tao Yingchun1,2, Liu Guang1,2, Liu Peng1,2, An Zhiming1,2, Wang Lin1,2   

  1. 1. Beijing Institute of Surveying and Mapping, Beijing 100038, China;
    2. Beijing Key Laboratory of Urban Spatial Intelligent Sensing and Dagital Geovernance, Beijing 100038, China
  • Received:2026-01-04 Published:2026-11-06

Abstract: [Purposes] 3D modeling of aerial and ground image collaboration is a significant challenge in real-scene modeling.This paper focuses on Fahai temple and White Pagoda temple in Beijing as research objects and proposes a 3D Gaussian splatting (3DGS)method based on aerial and ground image collaboration,which aiming to solve the high-quality reconstruction of scene with drastic changes in aerial and ground perspectives. [Methods] Firstly,the ground multi-modal heterogeneous equipment array acquisition strategy is implemented to achieve comprehensive and high-precision near-ground images of complex scenes.Secondly,a stepwise rigid constraint resolution method is employed to accomplish integrated aerial-ground joint aerial triangulation.Finally,a combined modeling strategy integrating block-based parallel training,multi-source camera viewpoint balancing,generative viewpoint augmentation,and spatio-temporal consistency filtering is utilized to reconstruct a high-fidelity and seamless 3D Gaussian splatting model. [Findings] The results demonstrate that the proposed method outperforms mainstream modeling approaches in terms of model completeness,geometric accuracy and visual details.Specifically,the peak signal-to-noise ratio (PSNR)is increased by 1.143 7 dB,the structural similarity index measure (SSIM)is improved by 0.022 3,and the learned perceptual image patch similarity (LPIPS)is reduced by 0.018 7. [Conclusions] The proposed method effectively addresses the challenge of high-quality 3D modeling under large viewpoint variations,which offers a new technological pathway for digital preservation of cultural heritage and fine-grained urban management.

Key words: aerial and ground collaboration, multi-modal data, aerial triangulation, 3D Gaussian splatting, real-scene 3D model

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