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

Guo, Qiu Ying; Liu, Hechun; Hassan, Faez M.; Bhatt, Mohammed Wasim; Buttar, Ahmed Mateen

doi:10.1007/s13198-021-01458-4

Cited by 12 publications

(7 citation statements)

References 37 publications

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“…However, when performing point cloud matching on original architectural images, due to the influence of the shooting object itself, the quality of the shooting image, matching errors, etc., the point cloud may contain some extremely high or low outlier points. For this reason, when filtering the original building point cloud, outliers should also be removed to meet practical requirements [6].…”

Section: Point Cloud Reconstructionmentioning

confidence: 99%

Three-dimensional modeling and application based on UAV tilt photogrammetry technology

Hou

2024

ACE

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Amid the swift progression of digital and smart cities, the growing prominence of three-dimensional information, especially in architecture, stands out. Architecture, forming the urban area's crux, necessitates comprehensive and precise data acquisition and effective utilization for modeling. This aligns with the burgeoning emphasis on high-quality urban informatization. The advent of unmanned aerial vehicle (UAV) tilt photogrammetry technology serves as a burgeoning auxiliary method in this domain. This innovative approach enhances model accuracy through multi-angle sampling, presenting a substantial advancement in three-dimensional modeling and its applications. This document outlines a fundamental framework for three-dimensional modeling and provides an exhaustive explanation of each component. An analysis of existing deficiencies, accompanied by feasible and validated solutions, forms a crucial part of the discussion, addressing gaps and offering remedial measures for effective three-dimensional modeling. The paper further delves into the extensive applications of UAVs modeling, underscoring its significant impact in areas such as hazardous rock detection and rural development among other sectors. It highlights the pivotal role of UAV tilt photogrammetry in driving advancements in diverse fields, bolstering efficiency, accuracy, and reliability in three-dimensional modeling and its multifaceted applications, thereby contributing to the enhancement of urban informatization and the broader development agenda.

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Section: Point Cloud Reconstructionmentioning

confidence: 99%

Three-dimensional modeling and application based on UAV tilt photogrammetry technology

Hou

2024

ACE

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“…Over time, it evolved into some highly integrated 3D reconstruction tools as COLMAP 35 . SfM, which produces good results in small-scale settings, was used to rebuild a few historic structures based on UAV images 36 . However, as a non-real-time 3D reconstruction method, the UAV in these studies is only used as a carrier for capturing images, and results will be damaged over time.…”

Section: Related Workmentioning

confidence: 99%

Stereo vision SLAM-based 3D reconstruction on UAV development platforms

Ding

Dai²,

Feng³

et al. 2023

J. Electron. Imag.

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.Three-dimensional (3D) reconstruction of unmanned aerial vehicle (UAV) images has garnered a lot of attention with the rapid growth of UAV technology. The crucial technique for large-scale 3D reconstruction of images taken from UAV is to get accurate and drift-free state estimation of UAV. Vision-based simultaneous localization and mapping (SLAM) system is widely used in this field because of the function of robot localization and unknown environment mapping. However, the current visual SLAM systems are vulnerable to issues including feature extraction challenge, mismatching, cumulative drift, and tracking lost in complicated and low-texture environment. To cope with the aforementioned challenges, we build a stereo vision SLAM framework based on ORB-SLAM, which fuses global positioning system (GPS) information and dense matching results based on deep learning to achieve accurate and drift-free pose estimation and 3D reconstruction of UAV images. We utilize cutting-edge method to create pixel-wise dense matching of adjacent frames and stereo frames and make full use of them. Then, to minimize the accumulated drifts, global GPS data are combined with pose graph optimization, which aligns local estimation with the global coordinate. Finally, the globally accurate and drift-free pose estimations are used to build a sparse point cloud map. Patch-based multi-view stereo algorithm is implemented to construct a dense map based on UAV images for reasonable results. We evaluate the effectiveness and accuracy of our approach in both simulation and real-world experiments. Extensive experimental results demonstrate that our method achieves great results.

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“…e probability of selecting different matching points is approximately the same. When the distance d between selected sample points is established, the matching stability of the initial remote sensing image is increased [12,13]. e parameters of unreasonable remote sensing images are eliminated.…”

Section: Photographic Remote Sensing Image Matching Algorithmmentioning

confidence: 99%

Low-Altitude Photogrammetry and Remote Sensing in UAV for Improving Mapping Accuracy

Zhang

2022

Mobile Information Systems

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The low-altitude photogrammetry technology of unmanned aerial vehicles (UAVs) is widely used in many fields, but the absence of analysis and research affects the accuracy of its data products. At the same time, low-altitude photogrammetry faces the problem of low elevation positioning accuracy. The network space triangulation adjustment in the beam technique region is considered to eliminate perspective distortion in non-overlapping areas. This paper explains the key technologies of low-altitude photography and remote sensing mapping of UAVs, rectifies the distortion difference of remote sensing images, and then carries out grid division on the image according to the improved APAP (as-projective-as-possible warp) matching method. Next, it solves each grid homography matrix, linearizes the homography matrix, and carries out image matching according to the linearized homography matrix, which can effectively weaken the ghosting phenomenon during image matching. The network space triangulation adjustment in the beam technique region is considered to eliminate perspective distortion in non-overlapping areas. The two measurement areas’ accuracy level is analyzed using digital line drawing and digital orthophoto images (DOIs). Finally, the experimental results indicate that the image matching algorithm proposed in this paper has strong reliability and can substantially increase photogrammetric elevation positioning.

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

Cited by 12 publications

References 37 publications

Three-dimensional modeling and application based on UAV tilt photogrammetry technology

Three-dimensional modeling and application based on UAV tilt photogrammetry technology

Stereo vision SLAM-based 3D reconstruction on UAV development platforms

Low-Altitude Photogrammetry and Remote Sensing in UAV for Improving Mapping Accuracy

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