Democratizing photogrammetry: an accuracy perspective

Shan, Jie; Li, Z.; Lercel, Damon; Tissue, Kevan; Hupy, Joseph P.; Carpenter, Joshua

doi:10.1080/10095020.2023.2178336

Cited by 7 publications

(3 citation statements)

References 52 publications

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“…where N(µ T , Σ T ) and N(µ A , Σ A ) define the positioning bias and accuracy of the terrestrial and aerial sparse models, respectively. Based on the above assumptions, the positional difference between X i T and X i A is subject to the three-dimensional normal distribution given by Equation (7).…”

Section: Accurate Fusion Of Terrestrial and Aerial Sparse Modelsmentioning

confidence: 99%

“…Although airborne oblique photogrammetry is widely adopted for 3D modeling at the city scale, the bottom parts of reconstructed models are often unsatisfactory due to the occlusion of ground objects and large perspective distortion of aerial imagery, especially in complex urban scenarios. With the development of data acquisition techniques, the integration of aerial and terrestrial imagery is widely used for generating better 3D models in terms of completeness, accuracy, and fidelity [7][8][9].…”

Section: Introductionmentioning

confidence: 99%

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Robust Fusion of Multi-Source Images for Accurate 3D Reconstruction of Complex Urban Scenes

Liang,

Yang,

et al. 2023

Remote Sensing

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Integrated reconstruction is crucial for 3D modeling urban scenes using multi-source images. However, large viewpoint and illumination variations pose challenges to existing solutions. A novel approach for accurate 3D reconstruction of complex urban scenes based on robust fusion of multi-source images is proposed. Firstly, georeferenced sparse models are reconstructed from the terrestrial and aerial images using GNSS-aided incremental SfM, respectively. Then, cross-platform match pairs are selected based on point-on-image observability. The terrestrial and aerial images are robustly matched based on the selected match pairs to generate cross-platform tie points. Thirdly, the tie points are triangulated to derive cross-platform 3D correspondences. The 3D correspondences are refined using a novel outlier detection method. Finally, the terrestrial and aerial sparse models are merged based on the refined correspondences, and the integrated model is globally optimized to obtain an accurate reconstruction of the scene. The proposed methodology is evaluated on five benchmark datasets, and extensive experiments are performed. The proposed pipeline is compared with a state-of-the-art methodology and three widely used software packages. Experimental results demonstrate that the proposed methodology outperforms the other pipelines in terms of robustness and accuracy.

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Section: Accurate Fusion Of Terrestrial and Aerial Sparse Modelsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Robust Fusion of Multi-Source Images for Accurate 3D Reconstruction of Complex Urban Scenes

Liang,

Yang,

et al. 2023

Remote Sensing

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“…It is projected that there will be approximately 3500 annual job vacancies for surveyors, primarily attributed to the replacement of professionals who shift to different careers or leave the workforce altogether [5]. Photogrammetric surveying has many benefits compared to traditional survey methods (RTK-GPS or total station), including being more labor and cost-efficient [6,7]. The purpose of this study was not only to evaluate the accuracy of the digital elevation models created using the RTK-GPS and photogrammetric methods but also to analyze the time, cost, and data size associated with each method.…”

Section: Introductionmentioning

confidence: 99%

A Comprehensive Comparison of Photogrammetric and RTK-GPS Methods for General Order Land Surveying

Furby,

Akhavian

2024

Buildings

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One of the main objectives of modern-day surveying is to maximize the efficiency and accuracy of mapping a landscape for natural features and elevations prior to the start of a construction project. This paper focuses on a comparison between terrestrial and aerial photogrammetry and real-time kinematic global positioning systems (RTK-GPSs) in terms of elevation accuracy, data expenditure, and time for each survey to be completed. Two sites in San Diego County were chosen to be studied with a combined area of about 1.14 acres, and a total station system was used to establish 572 control points between both areas. Two of the three methods investigated produced similar results in elevation and were well within the established standard, as the terrestrial photogrammetry averaged 0.0583 feet of error, the aerial photogrammetry averaged 0.345 feet of error, and the RTK-GPS averaged 0.0432 feet of error when compared to the total station ground truth. If data consumption is not a concern, the terrestrial photogrammetric method should be preferred to the aerial photogrammetric and RTK-GPS methods in topographic mapping and land monitoring due to the increase in time efficiency and in surface model detail while keeping within the Caltrans specified tolerance of error of 0.2 feet. For general order land surveys, the photogrammetric approach utilized with a Looq scanner would provide the most efficient and cost-effective survey while staying within the 0.2 foot tolerance of error. This method also allows for the utmost clarity of the resulting point cloud when analyzing terrain, break lines, or other features in the survey area.

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Low-Cost UAV in Photogrammetric Engineering and Remote Sensing: Georeferencing, DEM Accuracy, and Geospatial Analysis

Sohl,

Mahmood

2024

J geovis spat anal

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Democratizing photogrammetry: an accuracy perspective

Cited by 7 publications

References 52 publications

Robust Fusion of Multi-Source Images for Accurate 3D Reconstruction of Complex Urban Scenes

Robust Fusion of Multi-Source Images for Accurate 3D Reconstruction of Complex Urban Scenes

A Comprehensive Comparison of Photogrammetric and RTK-GPS Methods for General Order Land Surveying

Low-Cost UAV in Photogrammetric Engineering and Remote Sensing: Georeferencing, DEM Accuracy, and Geospatial Analysis

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