Application of UAV Photogrammetry in Displacement Measurement of the Soil Nail Walls Using Local Features and CPDA Method

Esmaeili, Farid; Ebadi, Hamid; Saadatseresht, M.; Kalantary, Farzin

doi:10.3390/ijgi8010025

Cited by 8 publications

(6 citation statements)

References 26 publications

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“…Then, using a professional mirror-reflex camera, a Canon EOS 500D [22], two photos were taken covering the item from its left and right side (Figures 1 and 2). The key technical parameters of the camera used are presented in Table 1 [23]. It should be added that the camera is commonly available on the market, emphasizing the low-cost feature of the presented method.…”

Section: Methodsmentioning

confidence: 99%

Photogrammetric Precise Surveying Based on the Adjusted 3D Control Linear Network Deployed on a Measured Object

Karsznia

Osada

2022

Applied Sciences

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In surveying engineering tasks, close-range photogrammetry belongs to leading technology by considering different aspects like the achievable accuracy, availability of hardware and software, accessibility to measured objects, or the economy. Hence, constant studies on photogrammetric data processing are desirable. Especially in industrial applications, the control points for close-range photogrammetry are usually measured using total stations. In the case of smaller items, more precise positions of control points can be obtained by deploying and adjusting a three-dimensional linear network located on the object. This article analyzes the accuracy of the proposed method based on the measurement of the linear network using a professional tape with a precision of ±1 mm. It is shown what accuracy of object feature dimensioning can be obtained based on the proposed innovative network method for photo-point measurement, using only the minimum required number of two stereo-images. The photogrammetric 3D model derived from them and captured with a non-metric camera is characterized by the highest possible precision, which qualifies the presented approach to accurate measurements used in the surveying engineering. The authors prove that the distance between two randomly optional points derived from the 3D model of a dimensioned object is equal to the actual distance measured directly on it with one-millimeter accuracy.

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Section: Methodsmentioning

confidence: 99%

Photogrammetric Precise Surveying Based on the Adjusted 3D Control Linear Network Deployed on a Measured Object

Karsznia

Osada

2022

Applied Sciences

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“…스테 레오 카메라 시스템을 통해 다양한 옹벽의 변위를 계측하며, 이 결과값을 토탈스테이션 값과 비교하여 검증하는 연구가 다양하게 수행되었다 (Han et al, 2006;Jiang and Jauregui, 2010;Esmaeili et al, 2013;Lee et al, 2016;Oats et al, 2017;Zhao et al, 2018). 또한, 드론 영상을 통해 다양한 시점의 이미지를 기반으로 변위를 계측하는 연구도 진행되 었다 (Esmaeili et al, 2019 (Lee and Shinozuka, 2006;Choi et al, 2011;Fukuda et al, 2013;Feng et al, 2015). 하지만 (Shi and Tomasi, 1994), SURF (Bay et al, 2008), BRISK (Leutenegger et al, 2011), ORB (Rublee et al, 2011), KAZE (Alcantarilla et al, 2012…”

Section: 단일 시점 영상 분석 시스템unclassified

Monitoring Technique Using a Vision-based Single-Camera System for Reinforced Soil Retaining Wall

하¹,

권²,

김³

2020

J. Korean Soc. Hazard Mitig

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Reinforced soil retaining walls are widely applied, and their frequency of collapse increases along with their use. Safety inspections are regularly conducted to ensure the structural safety of such walls. However, unexpected collapses occur for different reasons, such as design and construction problems, maintenance issues, and natural disasters including intensive rainfall. In this study, a single-camera system is proposed to evaluate the behavior of a retaining wall based on a single-perspective image. Various feature matching methods were compared to determine the optimal method for monitoring the retaining wall structure. The behaviors of the retaining wall structure were analyzed using the optimal method. The results indicate that the KAZE method provides the best results for monitoring the behaviors of a retaining wall, with errors ranging from 0.03% to 7.37%. The proposed single-camera system is widely used to evaluate the stability of a structure with high accuracy.

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“…In the authors’ previous research, Esmaeili et al (2013) proposed the close-range photogrammetry method in 2013 for the measurement of the displacement of excavation walls. It was demonstrated in this study that a displacement measurement accuracy of 8 mm can be obtained using the proposed combined photogrammetry displacement adjustment (CPDA) [1] method and installing photogrammetric targets on the structure (Esmaeili et al , 2013, 2019a, 2019b). Li et al (2015) measured unsaturated soil deformations during triaxial testing using a photogrammetry-based method.…”

Section: Introductionmentioning

confidence: 99%

“…According to Table 1, in all of the investigated projects, concerning to the project structure, close-range photogrammetry was able to achieve the required accuracy in displacement measurements (Esmaeili et al , 2019a, 2019b). The designing flexibility of the close-range photogrammetric systems to achieve the desired precision makes it possible to create special constraints and additional observations to increase the accuracy of measurement in project conditions.…”

Section: Introductionmentioning

confidence: 99%

Precise multi-image pointing (MIP) applied on convergence close-range photogrammetry images

Esmaeili

Ebadi

Saadatseresht

et al. 2020

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Purpose Displacement measurement in large-scale structures (such as excavation walls) is one of the most important applications of close-range photogrammetry, in which achieving high precision requires extracting and accurately matching local features from convergent images. The purpose of this study is to introduce a new multi-image pointing (MIP) algorithm is introduced based on the characteristics of the geometric model generated from the initial matching. This self-adaptive algorithm is used to correct and improve the accuracy of the extracted positions from local features in the convergent images. Design/methodology/approach In this paper, the new MIP algorithm based on the geometric characteristics of the model generated from the initial matching was introduced, which in a self-adaptive way corrected the extracted image coordinates. The unique characteristics of this proposed algorithm were that the position correction was accomplished with the help of continuous interaction between the 3D model coordinates and the image coordinates and that it had the least dependency on the geometric and radiometric nature of the images. After the initial feature extraction and implementation of the MIP algorithm, the image coordinates were ready for use in the displacement measurement process. The combined photogrammetry displacement adjustment (CPDA) algorithm was used for displacement measurement between two epochs. Micro-geodesy, target-based photogrammetry and the proposed MIP methods were used in a displacement measurement project for an excavation wall in the Velenjak area in Tehran, Iran, to evaluate the proposed algorithm performance. According to the results, the measurement accuracy of the point geo-coordinates of 8 mm and the displacement accuracy of 13 mm could be achieved using the MIP algorithm. In addition to the micro-geodesy method, the accuracy of the results was matched by the cracks created behind the project’s wall. Given the maximum allowable displacement limit of 4 cm in this project, the use of the MIP algorithm produced the required accuracy to determine the critical displacement in the project. Findings Evaluation of the results demonstrated that the accuracy of 8 mm in determining the position of the points on the feature and the accuracy of 13 mm in the displacement measurement of the excavation walls could be achieved using precise positioning of local features on images using the MIP algorithm.The proposed algorithm can be used in all applications that need to achieve high accuracy in determining the 3D coordinates of local features in close-range photogrammetry. Originality/value Some advantages of the proposed MIP photogrammetry algorithm, including the ease of obtaining observations and using local features on the structure in the images rather than installing the artificial targets, make it possible to effectively replace micro-geodesy and instrumentation methods. In addition, the proposed MIP method is superior to the target-based photogrammetric method because it does not need artificial target installation and protection. Moreover, in each photogrammetric application that needs to determine the exact point coordinates on the feature, the proposed algorithm can be very effective in providing the possibility to achieve the required accuracy according to the desired objectives.

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Application of UAV Photogrammetry in Displacement Measurement of the Soil Nail Walls Using Local Features and CPDA Method

Cited by 8 publications

References 26 publications

Photogrammetric Precise Surveying Based on the Adjusted 3D Control Linear Network Deployed on a Measured Object

Photogrammetric Precise Surveying Based on the Adjusted 3D Control Linear Network Deployed on a Measured Object

Monitoring Technique Using a Vision-based Single-Camera System for Reinforced Soil Retaining Wall

Precise multi-image pointing (MIP) applied on convergence close-range photogrammetry images

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