Article
Optics
Ashraf A. A. Beshr, Hossam El-Din Fawzy, Ehab A. A. Eldin, Jong Wan Hu, Fathi A. Abdelmgeed
Summary: This paper introduces the application of digital measuring techniques, specifically Digital Close Range Photogrammetry (DCRP), in the detection of deformation in post-tensioned structural elements (PTSEs). The use of digital equipment and a terrestrial laser scanner (TLS) allows for highly accurate monitoring of PTSE camber, with deviations not exceeding 0.01 mm.
OPTICS AND LASER TECHNOLOGY
(2024)
Article
Environmental Sciences
Guillaume Baralle, Antoine F. J. Marchal, Philippe Lejeune, Adrien Michez
Summary: The study developed an algorithm based on 3D track modeling to identify individual cheetahs by their footprints and sex, showing a high level of accuracy. Different track recording media were compared, and the tools were proven effective in discriminating foot position, sex, and individual identity, providing guidance for future automated track segmentation.
Article
Engineering, Civil
Lei-lei Guan, Yong-gui Chen, Rao-ping Liao
Summary: This study proposes a 3D modeling technique based on digital close-range photogrammetry for deep foundation pit deformation monitoring. The technique can obtain accurate deformation data and enhance the understanding of deformation patterns. The results indicate that the measurement accuracy of 3D models can reach millimeter-level or even sub-millimeter level.
KSCE JOURNAL OF CIVIL ENGINEERING
(2023)
Article
Geography, Physical
Yanmin Jiang, Haijing Shi, Zhongming Wen, Minghang Guo, Jun Zhao, Xiaoping Cao, Junfeng Shui, David Paull
Summary: This study investigated the evolution processes of rill erosion morphology and their impacts on runoff and sediment yield. The results showed that rill erosion processes had significant impacts on sediment and runoff. Clay loam soil was more prone to form rills compared to loess soil. These findings are of great importance for soil loss prediction.
Article
Computer Science, Information Systems
Safouane El Ghazouali, Alain Vissiere, Louis-Ferdinand Lafon, Mohamed-Lamjed Bouazizi, Hichem Nouira
Summary: Real-time inspection of large mechanical parts manufacturing using camera-based scanning systems is becoming more common in industry 4.0. The use of camera-based scanners requires a preliminary calibration process to estimate the intrinsic and extrinsic parameters. A machine learning approach combining polynomial approximation and particle swarm optimization is proposed for calibration. Synthetic and experimental evaluations show better convergence and performance compared to recent calibration methods.
JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES
(2022)
Article
Engineering, Multidisciplinary
Remzi Eker
Summary: This study aimed to compare a handheld mobile laser scanning (HMLS), called TORCH using SLAM algorithm, and a PPK-integrated close-range terrestrial photogrammetry (CRTP) for measuring forest road surface deformation. The PPK-integrated CRTP, which includes a multiband GNSS-module and a camera mounted on a 5-m prism pole, provided denser 3D point clouds than HMLS. However, the difference in mean deformation values between the two methods was statistically significant only for the second period. Both methods can be suggested for measuring forest road surface deformation, considering their limitations.
Article
Agriculture, Multidisciplinary
Ruoning Zhu, Long Chen, Guoqi Chai, Mengyu Chen, Xiaoli Zhang
Summary: This paper proposes an integrated extraction framework and methods based on close-range photogrammetry for automatic measurement of individual tree parameters with high accuracy. The results show that the proposed framework achieves high accuracy economically, efficiently, and conveniently.
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2023)
Article
Environmental Sciences
Qing Ding, Fengyan Wang, Jianping Chen, Mingchang Wang, Xuqing Zhang
Summary: In this study, the discontinuity data of a slope was obtained through digital close-range photogrammetry, increasing the sample size and improving data quality. By calculating the generalized RQD while considering the heterogeneity of the rock mass and eliminating the influence of blank areas, a more accurate representation of rock mass quality was obtained.
Article
Chemistry, Multidisciplinary
Dalius Matuzevicius, Arturas Serackis
Summary: This study presents a methodology for 3D head reconstruction using selfie videos and proposes algorithm improvements to enhance reconstruction quality and reduce computational load.
APPLIED SCIENCES-BASEL
(2022)
Article
Chemistry, Multidisciplinary
Yu Han, Xugang Lian, Fan Wang, Haodi Fan
Summary: This study utilizes digital image monitoring technology to real-time monitor the deformation of slopes. The non-metric digital camera is calibrated using the Zhang Zhengyou calibration method. The sub-pixel algorithm is used to identify the center coordinates of landmarks, and the displacement trend of the slope is calculated by combining the specific displacement value. The outdoor experimental results show that the monitoring accuracy of this method can reach millimeter level.
APPLIED SCIENCES-BASEL
(2022)
Article
Engineering, Multidisciplinary
Ines Barbero-Garcia, Roberto Pierdicca, Marina Paolanti, Andrea Felicetti, Jose Luis Lerma
Summary: This study integrates target-based close-range photogrammetry with facial landmark machine learning detection to develop an automatic, smartphone-based tool that provides 3D information of the head and face. This methodology opens a new path for the effective integration of machine learning and photogrammetry in medicine, particularly for overall head analysis.
Article
Engineering, Geological
Andre Paixao, Jose Muralha, Ricardo Resende, Eduardo Fortunato
Summary: Photogrammetry-based methods have become an important alternative for measuring the roughness of rock joints. By properly evaluating various aspects, comparable results to traditional methods can be achieved. Comparisons between 3D models generated with different settings and a reference model showed comparable accuracy and roughness parameters. Additionally, this method is more accessible, user-friendly, faster to implement, and less expensive than most current equipment and approaches.
ROCK MECHANICS AND ROCK ENGINEERING
(2022)
Article
Remote Sensing
Ming Guo, Yuquan Zhou, Jianghong Zhao, Tengfei Zhou, Bingnan Yan, Xianfeng Huang
Summary: The paper proposes a position and attitude calibration method with error correction based on the combination of feature points and feature surfaces, which improves the measurement accuracy of the MMS and meets the precision requirements of data acquisition.
GEO-SPATIAL INFORMATION SCIENCE
(2021)
Article
Engineering, Multidisciplinary
Lianqing Zhu, Guangkai Sun, Weimin Bao, Zheng You, Fanyong Meng, Mingli Dong
Summary: This paper reviews the history of research on the deformation monitoring of flight vehicles using optical fiber sensing (OFS) technology. It discusses the application of OFS-based deformation monitoring in the aerospace field. The paper identifies the problems encountered in practical applications and proposes future development directions.
Article
Environmental Sciences
Luka Jurjevic, Mateo Gasparovic, Xinlian Liang, Ivan Balenovic
Summary: This study evaluated the accuracy of close-range remote sensing techniques for DTM data collection in forest areas, and found that these techniques can achieve higher accuracy compared to airborne laser scanning and digital aerial photogrammetry data.