Article
Engineering, Multidisciplinary
Bernardo C. F. de Oliveira, Guilherme C. Marcellino, Pablo A. da Rosa, Tiago L. F. C. Pinto
Summary: This work proposes a method to statistically evaluate the metrological performance of three-dimensional reconstructions built with fused long-wavelength infrared (LWIR) and visible-light (VL) images. The results show that fused images have more contrast but also more artifacts, with the new fusion rule providing the best results in terms of denser reconstructions and lower uncertainty.
MEASUREMENT SCIENCE AND TECHNOLOGY
(2021)
Article
Engineering, Multidisciplinary
J. Eastwood, R. K. Leach, S. Piano
Summary: This paper presents a method to autonomously remove the background from photogrammetric images, resulting in lower data processing times, reduced memory usage, and increased point density on the object surface. Experimental results show that the reconstructions with the background removed have a lower standard deviation in point to mesh distance, indicating improved measurement accuracy.
MEASUREMENT SCIENCE AND TECHNOLOGY
(2023)
Article
Geosciences, Multidisciplinary
Raja Asyraf Azizan Raja Adnan, Mohd Ashraf Mohamad Ismail, Intan Norsheira Yusoff, Hayato Tobe, Takako Miyoshi, Kensuke Date, Yasuhiro Yokota
Summary: The JRC of a rock block sample is determined using image analysis technique and compared with manual Barton comb profilometer results to evaluate the reliability of the CRP technique. A high-resolution image captured by a drone is processed to create a three-dimensional model with four quality ratings: low, medium, high, and ultrahigh. The ultrahigh quality rating achieves the most accurate measurement with 0% error compared to the Barton comb measurement.
PHYSICS AND CHEMISTRY OF THE EARTH
(2023)
Article
Environmental Sciences
Ruoning Zhu, Zhengqi Guo, Xiaoli Zhang
Summary: An efficient and accurate forest sample plot survey is crucial for understanding forest resources and scientific management. Close-range photogrammetry technology can improve survey efficiency, but faces challenges in practical forestry applications. This research proposed strategies for 3D forest reconstruction and individual tree parameter extraction, showing improved accuracy in tree position and diameter at breast height (DBH) extraction, with great potential for future forest resource investigation and visualization management.
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
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.
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
Construction & Building Technology
Marcelo Medeiros Jr, Lucas Babadopulos, Renan Maia, Veronica Castelo Branco
Summary: This work thoroughly analyzed the accuracy and precision of using digital close-range photogrammetry (CRP) for 3D modelling of pavement surface. The technique was compared to a laser scanner as a benchmark and the precision was found to be 3.4% and the accuracy was found to be 4.2%. The study also compared the macrotexture parameters obtained from CRP to those from the Sand Patch Test and British Pendulum Test (BPT). The creation of a 3D surface model allowed for the investigation of additional parameters beyond the current standards and the potential for automated management and decision-making at the infrastructure level was highlighted.
INTERNATIONAL JOURNAL OF PAVEMENT ENGINEERING
(2023)
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
Forestry
Michal Ferencik, Zuzana Dudakova, Miroslav Kardos, Miroslav Sivak, Katarina Merganicova, Jan Merganic
Summary: This study analyzes soil surface changes caused by the traffic of three types of wheeled skidders without a load on Cambisol soil in Central Slovakia using Structure-from-Motion (SfM) close-range photogrammetry. The results show that the SfM method can be applied to detect soil surface changes after traffic of forestry machinery.
Article
Chemistry, Multidisciplinary
Michael Loesler, Cornelia Eschelbach, Thomas Kluegel, Stefan Riepl
Summary: The global geodetic reference system is realized by physical points on Earth's surface and is derived by combining several space geodetic techniques. Local ties, which are spatial vectors defined between reference points of two techniques, are crucial for the intertechnique combination. Improving local ties and the reference point determination procedures is the goal of the global geodetic observing system.
APPLIED SCIENCES-BASEL
(2021)
Article
Environmental Sciences
Abdullah Ekinci, Tanner Muturi, Pedro Miguel Vaz Ferreira
Summary: With the increase in structure lifespan, monitoring becomes crucial. Photogrammetry using UAVs shows promise to replace conventional methods in geotechnical monitoring.
JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING
(2021)
Article
Chemistry, Applied
Puneet Mishra, Junli Xu
Summary: This study describes a novel method of multimodal hyperspectral imaging, where two different spectral cameras in complementary ranges are integrated into a standalone system for spectral imaging of fresh produce. A comparative analysis of various multiblock predictive modeling approaches for data fusion is demonstrated, and the application of predicting soluble solids content in grapes is used as an example. This approach expands the applications of multimodal hyperspectral imaging for non-destructive analysis.
JOURNAL OF NEAR INFRARED SPECTROSCOPY
(2023)
Article
Environmental Sciences
Qiang Wang, Yang Liu, Yuhan Guo, Shun Wang, Zhenxin Zhang, Ximin Cui, Hu Zhang
Summary: In this paper, an innovative solution for identifying GSI point-distributed coded targets (GCTs) in close-range photogrammetry is presented. Experimental results demonstrate that the proposed method achieves high accuracy and effectiveness in GCT identification.
Review
Marine & Freshwater Biology
Tiny Remmers, Alana Grech, Chris Roelfsema, Sophie Gordon, Marine Lechene, Renata Ferrari
Summary: Close-range underwater photogrammetry has rapidly become a new standard in measuring and monitoring coral reefs, offering the potential to capture detailed metrics in both two and three dimensions at small scales. This comprehensive review of 125 publications on coral reef photogrammetry highlights the accelerated development and application of this technique in the past 15 years, with 55 metrics derived from it being used to inform ecological studies on benthic communities, habitat complexity, and ecosystem condition.
Article
Environmental Sciences
Pablo Rodriguez-Gonzalvez, Manuel Rodriguez-Martin
Summary: This paper introduces a novel approach for acquiring advanced competences in engineering courses through the use of thermographic images and free/open-source software solutions. By improving the interpretation and understanding of error sources, students can better analyze thermographic data using statistical and three-dimensional visualization techniques, enhancing critical thinking skills.
Article
Biochemical Research Methods
Lloyd A. Courtenay, Diego Gonzalez-Aguilera, Susana Laguela, Susana del Pozo, Camilo Ruiz-Mendez, Ines Barbero-Garcia, Concepcion Roman-Curto, Javier Canueto, Carlos Santos-Duran, Maria Esther Cardenoso-Alvarez, Monica Roncero-Riesco, David Hernandez-Lopez, Diego Guerrero-Sevilla, Pablo Rodriguez-Gonzalvez
Summary: Non-Melanoma skin cancer is a common type of cancer, and early detection is important for successful treatment. Hyperspectral imaging shows promise for non-invasive inspection of skin lesions, with optimal wavelength ranges between 573.45 and 779.88 nm for distinguishing healthy and unhealthy skin, and between 429.16 and 520.17 nm for differentiating cancer types.
BIOMEDICAL OPTICS EXPRESS
(2021)
Article
Environmental Sciences
Ivan Dorado-Roda, Adrian Pascual, Sergio Godinho, Carlos A. Silva, Brigite Botequim, Pablo Rodriguez-Gonzalvez, Eduardo Gonzalez-Ferreiro, Juan Guerra-Hernandez
Summary: The study evaluates the effect of combining ALS-based aboveground biomass estimates with GEDI-derived models in different forest ecosystems, finding that GEDI data shows higher uncertainty in highly multilayered forests. The proposed models could be used to monitor biomass stocks at large scale in Mediterranean areas, especially in remote and hard-to-reach areas for forest inventory. The findings provide an initial evaluation of GEDI data for estimating AGB in Mediterranean forests.
Article
Chemistry, Multidisciplinary
Glauco Nobrega, Maria Sabrina Souza, Manuel Rodriguez-Martin, Pablo Rodriguez-Gonzalvez, Joao Ribeiro
Summary: In this study, an analysis was conducted on the impact of different welding parameters on the quality of Gas Metal Arc Welding of thin stainless steel tubes. Through destructive testing, it was found that welding voltage is the most influential parameter affecting weld quality, emphasizing its significance in the design of automatic welding processes to enhance final weld quality.
APPLIED SCIENCES-BASEL
(2021)
Article
Chemistry, Multidisciplinary
Esteban Ruiz de Ona, Manuel Rodriguez-Martin, Pablo Rodriguez-Gonzalvez, Rocio Mora, Diego Gonzalez-Aguilera
Summary: This paper presents a new tool for external quality control in welds using close-range photogrammetry. The tool allows for automatic assessment of welds based on 3D photogrammetric models, providing objective and accurate analyses. The tool was validated in both laboratory tests and real scenarios.
APPLIED SCIENCES-BASEL
(2022)
Article
Medicine, General & Internal
Lloyd A. Courtenay, Diego Gonzalez-Aguilera, Susana Laguela, Susana Del Pozo, Camilo Ruiz, Ines Barbero-Garcia, Concepcion Roman-Curto, Javier Canueto, Carlos Santos-Duran, Maria Esther Cardenoso-Alvarez, Monica Roncero-Riesco, David Hernandez-Lopez, Diego Guerrero-Sevilla, Pablo Rodriguez-Gonzalvez
Summary: Non-melanoma skin cancer, particularly basal cell carcinoma, is a common type of cancer. Early detection is vital, and the combination of multispectral imaging and artificial intelligence offers a non-invasive method for detection and classification with high accuracy.
JOURNAL OF CLINICAL MEDICINE
(2022)
Article
Medicine, General & Internal
Lloyd A. Courtenay, Ines Barbero-Garcia, Julia Aramendi, Diego Gonzalez-Aguilera, Manuel Rodriguez-Martin, Pablo Rodriguez-Gonzalvez, Javier Canueto, Concepcion Roman-Curto
Summary: This study analyzed a dataset of images containing different types of NMSC and benign skin lesions, and found that shape is an important parameter for NMSC detection. The combination of EFA coefficients and asymmetry showed notable success rates in classifying benign and malignant lesions.
JOURNAL OF CLINICAL MEDICINE
(2022)
Article
Chemistry, Multidisciplinary
Esteban Ruiz de Ona, Ines Barbero-Garcia, Diego Gonzalez-Aguilera, Fabio Remondino, Pablo Rodriguez-Gonzalvez, David Hernandez-Lopez
Summary: This article presents PhotoMatch, an open-source tool for multi-view and multi-modal feature-based image matching, including various state-of-the-art methods for preprocessing, feature extraction, and matching. The tool also provides tools for detailed assessment and comparison of different methods, allowing users to select the best combination of methods for each specific dataset.
APPLIED SCIENCES-BASEL
(2023)
Article
Engineering, Electrical & Electronic
Cristina Allende-Prieto, Lucia Fernandez, Seila Agun, Pablo Rodriguez-Gonzalvez, Beatriz Martinez, Pilar Garcia, Ana Rodriguez
Summary: This article discusses the application of near-infrared spectroscopy combined with multivariate classification methods in the dairy industry for detecting bacterial contamination in milk. The study found that NIR was accurate and reliable in detecting the presence of biofilms in milk, and it was effective in distinguishing between contaminated and uncontaminated samples. Additionally, the technology was able to classify samples belonging to different strains of bacteria. The results demonstrated the potential of this technology as a rapid and accurate method for identifying bacterial contamination in the dairy sector.
IEEE SENSORS JOURNAL
(2023)
Article
Forestry
Fernando Castedo-Dorado, Pablo Rodriguez-Gonzalvez, Eduardo Gonzalez-Ferreiro, Guillermo Ramos-Gonzalez, Ramon Alvarez-Esteban, Flor Alvarez-Taboada
Summary: The aim of this study was to develop a whole-stand growth model for five clones of Populus spp. Data were obtained from a network of 134 plots and 265 trees scanned by Terrestrial Laser Scanning. The main component of the growth model is a diameter projection function, enabling diameter to be projected at any time. The model has been implemented in a web-based plot growth simulator, facilitating its use.
SCANDINAVIAN JOURNAL OF FOREST RESEARCH
(2023)
Proceedings Paper
Judit Fernandez-Puerto, Paula Garcia-Osorio, Manuel Rodriguez-Martin, Pablo Rodriguez-Gonzalvez
Summary: This article discusses the application of service-learning methodology in capstone projects to enhance students' acquisition of skills, motivation, and engagement. The experience took place in a depopulated area of Spain, helping students better prepare for engineering practice.
TEEM'21: NINTH INTERNATIONAL CONFERENCE ON TECHNOLOGICAL ECOSYSTEMS FOR ENHANCING MULTICULTURALITY
(2021)
Proceedings Paper
Pablo Rodriguez-Gonzalvez, Manuel Rodriguez-Martin, Paula Garcia-Osorio, Sara Fernandez-Iglesias, David Paz-Arias, Prudencio Alonso-Otero, Ildefonso Alvear-Ordenes
Summary: This paper proposes a novel approach for acquiring advanced skills in the Health Sciences degree of podiatry through the application of techniques from Geomatics engineering and free/open-source software solutions. The strategy involves using 3D visualization techniques on thermographic images to improve interpretation and understanding of physiological and pathological analysis of the lower extremity. By implementing Geomatics advances in the Health Sciences branch, students' critical thinking skills can be improved, better preparing them for future challenges in the labor market.
TEEM'21: NINTH INTERNATIONAL CONFERENCE ON TECHNOLOGICAL ECOSYSTEMS FOR ENHANCING MULTICULTURALITY
(2021)
Proceedings Paper
Manuel Rodriguez-Martin, Roberto Garcia-Martin, Miguel Angel Lorenzo Fernandez, Pablo Rodriguez-Gonzalvez
Summary: This paper presents a learning activity using Matlab (R) to improve quality control teaching by processing different random datasets in matrix form to help students master statistical and data visualization tools, and evaluates the teaching effectiveness.
TEEM'21: NINTH INTERNATIONAL CONFERENCE ON TECHNOLOGICAL ECOSYSTEMS FOR ENHANCING MULTICULTURALITY
(2021)
Proceedings Paper
Manuel Rodriguez-Martin, Alberto Benito Rodriguez, Leticia Aguado Ferreira, Pablo Rodriguez-Gonzalvez
Summary: This paper introduces a new learning approach using simulation of infection risks to help undergraduate engineering students understand the ventilation requirements for preventing SARS-CoV-2 virus infection in the workplace and to enhance critical thinking skills in designing ventilation systems.
TEEM'21: NINTH INTERNATIONAL CONFERENCE ON TECHNOLOGICAL ECOSYSTEMS FOR ENHANCING MULTICULTURALITY
(2021)
Article
Architecture
Pablo Rodriguez-Gonzalvez, Belen Jimenez Fernandez-Palacios
Summary: This article presents a novel methodology for classifying 3D point clouds related to architectural heritage elements, based on dimensional features and using open source software. The optimized point cloud, with an average error of 0.3 mm and a standard deviation of +/- 4.6 mm compared to the original point cloud, shows significant reduction in point density while preserving relevant information for efficient subsequent operations.
