Studies on Three-Dimensional (3D) Modeling of UAV Oblique Imagery with the Aid of Loop-Shooting

Li, Jia; Yao, Yongxiang; Duan, Ping; Chen, Yun; Li, Shuang; Zhang, Chi

doi:10.3390/ijgi7090356

Cited by 13 publications

(7 citation statements)

References 30 publications

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“…[6] presented a tool to 3D model of building by combining the Google earth and GIS environment to visualization 3D model for making decision in elevation they applied this tool on Batom city in Indonesia. [7] proposed to use the Aid of loops shooting technology to process the lack in 3D model which delivered from (UAV) that caused by distortion and airflow and they enhanced the accuracy of 3D reconstruction by using the proposed method. 3D reconstruction was examined by Boboc et al [8] to compare models delivered from two different softwares: Tango construction and Agi photoscan software, The results from their examination showed that the data delivered from Tango application provided morphometric data marked by time saving and quickly way to obtain 3D model reconstruction compared with other methods.…”

Section: Introductionmentioning

confidence: 99%

Accuracy Assessment of 3D Model Based on Laser Scan and Photogrammetry Data

Mohamed¹,

Din²,

Qais³

2022

eijs

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A three-dimensional (3D) model extraction represents the best way to reflect the reality in all details. This explains the trends and tendency of many scientific disciplines towards making measurements, calculations and monitoring in various fields using such model. Although there are many ways to produce the 3D model like as images, integration techniques, and laser scanning, however, the quality of their products is not the same in terms of accuracy and detail. This article aims to assess the 3D point clouds model accuracy results from close range images and laser scan data based on Agi soft photoscan and cloud compare software to determine the compatibility of both datasets for several applications. College of Science, Departments of Mathematics and Computer in the University of Baghdad campus were exploited to create the proposed 3D model as this area location, which is one of the distinctive features of the university, allows making measurements freely from all sides. Results of this study supported by statistical analysis including 2 sample T-test and RMSE calculation in addition to visual comparison. Through this research, we note that the laser3D model provides many points in a short time, so it will reduce the field work and also its data is faster in processing to produce a reliable model of the scanned area compared with data derived from photogrammetry, then the difference were computed for all the reference points.

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Section: Introductionmentioning

confidence: 99%

Accuracy Assessment of 3D Model Based on Laser Scan and Photogrammetry Data

Mohamed¹,

Din²,

Qais³

2022

eijs

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“…(3)(4)(5)(6) In addition, the results of 3D model construction based on the use of multi-directional images whose resolution exceeds that of aerial images were examined. (7,8) A method for modeling multiple buildings in a large area using UAV imagery with a relatively narrow shooting range was established. (9) Furthermore, following the increasing demand for high-quality 3D building models, a technique to determine factors that lead to the loss of details such as occlusion and distortion has been developed.…”

Section: Introductionmentioning

confidence: 99%

“…(9) Furthermore, following the increasing demand for high-quality 3D building models, a technique to determine factors that lead to the loss of details such as occlusion and distortion has been developed. (7) Despite extensive research, UAV imagery has limited usefulness for the construction of 3D building models. UAVs use small sensors whose accuracy is lower than that of aircraft, resulting in the acquisition of images with low positional and attitudinal accuracy.…”

Section: Introductionmentioning

confidence: 99%

Repositioning Technique Based on 3D Model Using a Building Shape Registration Algorithm

Kang¹,

Lee²,

Yun³

et al. 2022

Sensors and Materials

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The demand for 3D spatial data and effective dataset construction has been increasing. However, the construction of 3D spatial datasets is more time-consuming and costlier than that of 2D spatial data. In addition, maintaining 3D city models up to date long after their initial construction is difficult. In this study, we developed a method of updating 3D building information within a relatively short time frame using highly accurate 2D building information. This method can be used to correct 3D building information automatically. Unmanned aerial vehicle (UAV) imagery of the study area was obtained, and a 3D model was developed using commercial software. Subsequently, the 3D model information was mapped onto the 2D information. After transforming the paired objects into point data at a set interval, registration parameters were calculated by applying the iterative closest-point technique. The calculated parameters were used to reposition the 3D model, enabling the creation of a model that overlaps with more than 98% of the existing spatial information data. Thus, it was confirmed that 3D building models can be produced without ground control points and can be readily updated at low cost.

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“…Smith et al (2009) [16] used kite aerial photogrammetry with small topographic map. In the last time unmanned aerial vehicle (UAVs) present a practical challenge, Li et al (2018) [17] enhanced the 3D reconstruction delivered from UAV by using a loop-shooting aided technology. This technology redounded to process the missing details in 3D model which caused by airflow or distribution during capture the image by UAV.…”

Section: Introductionmentioning

confidence: 99%

Integration the Low Cost Camera Images with the Google Earth Dataset to Create a 3D Model

Bori

Hussein

2020

Civ Eng J

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As known Close range photogrammetry represents one of the most techniques to create precise 3D model. Metric camera, digital camera, and Laser scanning can be exploited for the photogrammetry with variety level of cost that may be high. In this study, the cost level is taken in to consideration to achieve balance between the cost and the obtained accuracy. This study aims to detect potential of low cost tools for creating 3D model in terms of obtained accuracy and details and comparing it with corresponding studies. Smart phone camera is the most available for everyone; this gave the motivation for use in this study. In addition, Google Earth was used to integrate the 3D model produced from all sides including the roof. Then, two different types of the mobile camera were used in addition to the DSLR camera (Digital Single Lens Reflex) for comparison and analysis purposes. Thus, this research gave flexibility in work and low cost resulting from replacement the metric camera with the smart camera and the unmanned aerial vehicle (UAV) with Google Earth data. Mechanism of the work can be summarized in four steps. Firstly, photogrammetry planning to determine suitable baselines from object and location of targets that measured using GPS and Total station devices. Secondly, collect images using close range photogrammetry technique. Thirdly, processing step to create the 3D model and integrated with Google Earth images using the Agi Photoscan software. Finally, Comparative and evaluation stage to derive the accuracy and quality of the model obtained from this study using statistical analysis method. Regarding this Study, University of Baghdad, central library was selected as the case study. The results of this paper show that the low cost 3D model resulted from integrating phone and Google Earth images gave suitable result with mean accuracy level reached to about less than 5 meters compared with DSLR camera result, this may be used for several applications such as culture heritage and architecture documentation.

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Studies on Three-Dimensional (3D) Modeling of UAV Oblique Imagery with the Aid of Loop-Shooting

Cited by 13 publications

References 30 publications

Accuracy Assessment of 3D Model Based on Laser Scan and Photogrammetry Data

Accuracy Assessment of 3D Model Based on Laser Scan and Photogrammetry Data

Repositioning Technique Based on 3D Model Using a Building Shape Registration Algorithm

Integration the Low Cost Camera Images with the Google Earth Dataset to Create a 3D Model

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