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Los centros urbanos históricos son escenarios complejos para su reconstrucción tridimensional. Los avances en la reconstrucción automática son de gran utilidad para realizar análisis urbanísticos que de otra manera requerirían un elevado esfuerzo humano. En este artículo, se derivarán de forma automática parámetros urbanísticos para el análisis de los centros históricos. En particular, se utiliza un vuelo fotogramétrico como base para la obtención de modelos 3D de edificios con propiedades métricas. Los resultados revelan que la información geométrica de los edificios (alturas, áreas y volúmenes) y los atributos de densidad urbana (intensidad de ocupación del suelo en 2D y 3D) juegan un papel esencial en el diseño, planificación y gestión de los centros históricos. El enfoque propuesto fue validado en el centro histórico de la ciudad de Trento (Italia) utilizando datos catastrales y un sistema de cartografiado móvil como referencia geométrica.
Inmaculada Picon-Cabrera; Pablo Rodríguez-Gonzálvez; Isabella Toschi; Fabio Remondino; Diego González-Aguilera. Reconstrucción de edificios y análisis urbanístico de centros históricos con fotogrametría aérea. Informes de la Construcción 2021, 73, e398 -e398.
AMA StyleInmaculada Picon-Cabrera, Pablo Rodríguez-Gonzálvez, Isabella Toschi, Fabio Remondino, Diego González-Aguilera. Reconstrucción de edificios y análisis urbanístico de centros históricos con fotogrametría aérea. Informes de la Construcción. 2021; 73 (562):e398-e398.
Chicago/Turabian StyleInmaculada Picon-Cabrera; Pablo Rodríguez-Gonzálvez; Isabella Toschi; Fabio Remondino; Diego González-Aguilera. 2021. "Reconstrucción de edificios y análisis urbanístico de centros históricos con fotogrametría aérea." Informes de la Construcción 73, no. 562: e398-e398.
El presente artículo presenta un conjunto de desarrollos y herramientas diseñadas con el fin de automatizar el mayor número posible de los procesos de control de calidad que se realizan sobre una serie cartográfica durante las fases de mantenimiento y actualización dentro de un contexto municipal. Dado que los tiempos y recursos empleados en estas tareas son considerables, se ha diseñado una metodología que aprovecha las posibilidades de los entornos CAD y SIG para agilizar y optimizar la detección de las discrepancias entre la representación cartográfica y los parámetros establecidos por el organismo cartográfico competente, facilitando así la localización de estos errores y su posterior revisión y corrección. El proceso de automatización se ejemplifica con las series cartográficas a gran escala del Ayuntamiento de Sabadell, lográndose una importante minimización de la intervención de los técnicos.
Eulàlia Torrent Foz; Ángel Luis Muñoz-Nieto; Diego González-Aguilera; Pablo Rodríguez Gonzálvez. Implementación de procesos de control de calidad en actualización de series cartográficas urbanas mediante CAD y SIG. Revista Cartográfica 2021, 47 -69.
AMA StyleEulàlia Torrent Foz, Ángel Luis Muñoz-Nieto, Diego González-Aguilera, Pablo Rodríguez Gonzálvez. Implementación de procesos de control de calidad en actualización de series cartográficas urbanas mediante CAD y SIG. Revista Cartográfica. 2021; (103):47-69.
Chicago/Turabian StyleEulàlia Torrent Foz; Ángel Luis Muñoz-Nieto; Diego González-Aguilera; Pablo Rodríguez Gonzálvez. 2021. "Implementación de procesos de control de calidad en actualización de series cartográficas urbanas mediante CAD y SIG." Revista Cartográfica , no. 103: 47-69.
Global Ecosystem Dynamics Investigation (GEDI) satellite mission is expanding the spatial bounds and temporal resolution of large-scale mapping applications. Integrating the recent GEDI data into Airborne Laser Scanning (ALS)-derived estimations represents a global opportunity to update and extend forest models based on area based approaches (ABA) considering temporal and spatial dynamics. This study evaluates the effect of combining ALS-based aboveground biomass (AGB) estimates with GEDI-derived models by using temporally coincident datasets. A gradient of forest ecosystems, distributed through 21,766 km2 in the province of Badajoz (Spain), with different species and structural complexity, was used to: (i) assess the accuracy of GEDI canopy height in five Mediterranean Ecosystems and (ii) develop GEDI-based AGB models when using ALS-derived AGB estimates at GEDI footprint level. In terms of Pearson’s correlation (r) and rRMSE, the agreement between ALS and GEDI statistics on canopy height was stronger in the denser and homogeneous coniferous forest of P. pinaster and P. pinea than in sparse Quercus-dominated forests. The GEDI-derived AGB models using relative height and vertical canopy metrics yielded a model efficiency (Mef) ranging from 0.31 to 0.46, with a RMSE ranging from 14.13 to 32.16 Mg/ha and rRMSE from 38.17 to 84.74%, at GEDI footprint level by forest type. The impact of forest structure confirmed previous studies achievements, since GEDI data showed higher uncertainty in highly multilayered forests. In general, GEDI-derived models (GEDI-like Level4A) underestimated AGB over lower and higher ALS-derived AGB intervals. The proposed models could also be used to monitor biomass stocks at large-scale by using GEDI footprint level in Mediterranean areas, especially in remote and hard-to-reach areas for forest inventory. The findings from this study serve to provide an initial evaluation of GEDI data for estimating AGB in Mediterranean forest.
Iván Dorado-Roda; Adrián Pascual; Sergio Godinho; Carlos Silva; Brigite Botequim; Pablo Rodríguez-Gonzálvez; Eduardo González-Ferreiro; Juan Guerra-Hernández. Assessing the Accuracy of GEDI Data for Canopy Height and Aboveground Biomass Estimates in Mediterranean Forests. Remote Sensing 2021, 13, 2279 .
AMA StyleIván Dorado-Roda, Adrián Pascual, Sergio Godinho, Carlos Silva, Brigite Botequim, Pablo Rodríguez-Gonzálvez, Eduardo González-Ferreiro, Juan Guerra-Hernández. Assessing the Accuracy of GEDI Data for Canopy Height and Aboveground Biomass Estimates in Mediterranean Forests. Remote Sensing. 2021; 13 (12):2279.
Chicago/Turabian StyleIván Dorado-Roda; Adrián Pascual; Sergio Godinho; Carlos Silva; Brigite Botequim; Pablo Rodríguez-Gonzálvez; Eduardo González-Ferreiro; Juan Guerra-Hernández. 2021. "Assessing the Accuracy of GEDI Data for Canopy Height and Aboveground Biomass Estimates in Mediterranean Forests." Remote Sensing 13, no. 12: 2279.
The thermography as a methodology to quantitative data acquisition is not usually addressed in the degrees of university programs. The present manuscript proposes a novel approach for the acquisition of advanced competences in engineering courses associated with the use of thermographic images via free/open-source software solutions. This strategy is established from a research based on the statistical and three-dimensional visualization techniques over thermographic imagery to improve the interpretation and comprehension of the different sources of error affecting the measurements and, thereby, the conclusions and analysis arising from them. The novelty is focused on the detection of non-normalities in thermographic images, which is illustrates in the experimental section. Additionally, the specific workflow for the generation of learning material related with this aim is raised for asynchronous and e-learning programs. These virtual materials can be easily deployed in an institutional learning management system, allowing the students to work with the models by means of free/open-source solutions easily. Subsequently, the present approach will give new tools to improve the application of professional techniques, will improve the students’ critical sense to know how to interpret the uncertainties in thermography using a single thermographic image, therefore they will be better prepared to face future challenges with more critical thinking.
Pablo Rodríguez-Gonzálvez; Manuel Rodríguez-Martín. Design of a Didactical Activity for the Analysis of Uncertainties in Thermography through the Use of Robust Statistics as Teacher-Oriented Approach. Remote Sensing 2021, 13, 402 .
AMA StylePablo Rodríguez-Gonzálvez, Manuel Rodríguez-Martín. Design of a Didactical Activity for the Analysis of Uncertainties in Thermography through the Use of Robust Statistics as Teacher-Oriented Approach. Remote Sensing. 2021; 13 (3):402.
Chicago/Turabian StylePablo Rodríguez-Gonzálvez; Manuel Rodríguez-Martín. 2021. "Design of a Didactical Activity for the Analysis of Uncertainties in Thermography through the Use of Robust Statistics as Teacher-Oriented Approach." Remote Sensing 13, no. 3: 402.
In this research, a novel methodology based on the simulation of a call for research projects was applied for the training of STEM secondary school teachers, with results raised and analyzed to determine the response of the students to this new methodology. The activity was applied in the same course during two academic years with student groups from very different teaching specialties such as mathematics, physics and chemistry, biology and geology, technology and health processes who were studying the Master’s Degree in Secondary Education, specifically, the 3 European Credit Transfer and Accumulation System (ECTS) course of Initiation to Educational Research (IER), this Master’s course being mandatory for working as a secondary professor. The Master’s students are asked to write their own research project proposals for a fictitious call on a topic freely chosen by them, which might have been related to the research line of the final Master’s thesis. In it, they had to propose all the contents studied in the course (such as writing a brief state of the art, establishing a research team, setting objectives, a description of the methodology for educational research, instruments, a plan for the dissemination of the results, the needed resources, etc.). The students’ perceptions of the usefulness and reality of what they had learned for their professional development and for writing their final theses were assessed. The results based on the perceptions of the students demonstrate that the activity had been useful for assimilating concepts related to educational research in the context of secondary education (research skills), which will be useful for improving the critical sense of the students (teacher candidates) and for their professional future in the context of applied research in day-to-day secondary teacher activities. Furthermore, the results show the activity was useful for the development of the final Master’s thesis. The difficult aspects that the activity presented for them were analyzed. The results were statistically compared for the students of the different specialties, deducing, in all cases, a homogeneous good acceptance with slight differences between them.
Manuel Rodríguez-Martín; Diego Vergara; Pablo Rodríguez-Gonzálvez. Simulation of a Real Call for Research Projects as Activity to Acquire Research Skills: Perception Analysis of Teacher Candidates. Sustainability 2020, 12, 7431 .
AMA StyleManuel Rodríguez-Martín, Diego Vergara, Pablo Rodríguez-Gonzálvez. Simulation of a Real Call for Research Projects as Activity to Acquire Research Skills: Perception Analysis of Teacher Candidates. Sustainability. 2020; 12 (18):7431.
Chicago/Turabian StyleManuel Rodríguez-Martín; Diego Vergara; Pablo Rodríguez-Gonzálvez. 2020. "Simulation of a Real Call for Research Projects as Activity to Acquire Research Skills: Perception Analysis of Teacher Candidates." Sustainability 12, no. 18: 7431.
Close-range photogrammetry is a powerful and widely used technique for 3D reconstruction of archaeological environments, specifically when a high-level detail is required. This paper presents an innovative low-cost system that allows high quality and detailed reconstructions of indoor complex scenarios with unfavorable lighting conditions by means of close-range nadir and oblique images as an alternative to drone acquisitions for those places where the use of drones is limited or discouraged: (i) indoor scenarios in which both loss of GNSS signal and need of long exposure times occur, (ii) scenarios with risk of raising dust in suspension due to the proximity to the ground and (iii) complex scenarios with variability in the presence of nooks and vertical elements of different heights. The low-altitude aerial view reached with this system allows high-quality 3D documentation of complex scenarios helped by its ergonomic design, self-stability, lightness, and flexibility of handling. In addition, its interchangeable and remote-control support allows to board different sensors and perform both acquisitions that follow the ideal photogrammetric epipolar geometry but also acquisitions with geometry variations that favor a more complete and reliable reconstruction by avoiding occlusions. This versatile pole photogrammetry system has been successfully used to 3D reconstruct and document the “Cueva Pintada” archaeological site located in Gran Canaria (Spain), of approximately 5400 m2 with a Canon EOS 5D MARK II SLR digital camera. As final products: (i) a great quality photorealistic 3D model of 1.47 mm resolution and ±8.4 mm accuracy, (ii) detailed orthophotos of the main assets of the archaeological remains and (iii) a visor 3D with associated information on the structures, materials and plans of the site were obtained.
Susana Del Pozo; Pablo Rodríguez-Gonzálvez; David Hernández-López; Jorge Onrubia-Pintado; Diego Guerrero-Sevilla; Susana Del Pozo Aguilera. Novel Pole Photogrammetric System for Low-Cost Documentation of Archaeological Sites: The Case Study of “Cueva Pintada”. Remote Sensing 2020, 12, 2644 .
AMA StyleSusana Del Pozo, Pablo Rodríguez-Gonzálvez, David Hernández-López, Jorge Onrubia-Pintado, Diego Guerrero-Sevilla, Susana Del Pozo Aguilera. Novel Pole Photogrammetric System for Low-Cost Documentation of Archaeological Sites: The Case Study of “Cueva Pintada”. Remote Sensing. 2020; 12 (16):2644.
Chicago/Turabian StyleSusana Del Pozo; Pablo Rodríguez-Gonzálvez; David Hernández-López; Jorge Onrubia-Pintado; Diego Guerrero-Sevilla; Susana Del Pozo Aguilera. 2020. "Novel Pole Photogrammetric System for Low-Cost Documentation of Archaeological Sites: The Case Study of “Cueva Pintada”." Remote Sensing 12, no. 16: 2644.
Historical aerial images are a unique and relatively unexplored means of deriving spatio-temporal information for scenes and landscapes. Such historical imagery can be combined with photointerpretation and image-based 3D modelling techniques, providing the fourth dimension of time to 3D geometrical representations. This allows urban planners, historians, and other specialists to identify, describe, and analyse changes in scenes and landscapes. Urban growth has an important impact on the sustainable development of cities. An important step for the analysis of urban growth is the identification of different urban sectors. To this end, this paper proposes a methodology for the 4D urban growth analysis of cities through time using a free and open source software developed by the authors. This approach uses the latest advances in photogrammetry, including the so-called incremental Structure from Motion, to evaluate the urbanistic changes of a city by means of confronting two-point clouds from different eras. The objectives of this paper are twofold: (i) first, the processing of historical aerial images using modern photogrammetric techniques; (ii) second, deriving spatio-temporal information for urban cities, offering a method for researchers to identify changes over time. In order to validate this method, the urban growth of the city of Avila between 1956 and 2017 was assessed taking the historical American flight of 1956 and the digital aerial flight of 2017. The results were statistically assessed according to georeferencing quality, confirming that the approach developed can be used to support urban growth analysis through time and providing relevant data in 2D and 3D.
Inmaculada Picon-Cabrera; Jesus Maria Garcia-Gago; Luis Javier Sanchez-Aparicio; Pablo Rodriguez-Gonzalvez; Diego Gonzalez-Aguilera. On the Use of Historical Flights for the Urban Growth Analysis of Cities Through Time: The Case Study of Avila (Spain). Sustainability 2020, 12, 4673 .
AMA StyleInmaculada Picon-Cabrera, Jesus Maria Garcia-Gago, Luis Javier Sanchez-Aparicio, Pablo Rodriguez-Gonzalvez, Diego Gonzalez-Aguilera. On the Use of Historical Flights for the Urban Growth Analysis of Cities Through Time: The Case Study of Avila (Spain). Sustainability. 2020; 12 (11):4673.
Chicago/Turabian StyleInmaculada Picon-Cabrera; Jesus Maria Garcia-Gago; Luis Javier Sanchez-Aparicio; Pablo Rodriguez-Gonzalvez; Diego Gonzalez-Aguilera. 2020. "On the Use of Historical Flights for the Urban Growth Analysis of Cities Through Time: The Case Study of Avila (Spain)." Sustainability 12, no. 11: 4673.
Three-dimensional (3D) reconstruction is a useful technique for the documentation, characterization, and evaluation of small archeological objects. In this research, a comparison among different photogrammetric setups that use different lenses (macro and standard zoom) and dense point cloud generation calibration processes for real specific objects of archaeological interest with different textures, geometries, and materials is raised using an automated data collection. The data acquisition protocol is carried out from a platform with control points referenced with a metrology absolute arm to accurately define a common spatial reference system. The photogrammetric reconstruction is performed considering a camera pre-calibration as well as a self-calibration. The latter is common for most data acquisition situations in archaeology. The results for the different lenses and calibration processes are compared based on a robust statistical analysis, which entails the estimation of both standard Gaussian and non-parametric estimators, to assess the accuracy potential of different configurations. As a result, 95% of the reconstructed points show geometric discrepancies lower than 0.85 mm for the most unfavorable case and less than 0.35 mm for the other cases.
Manuel Rodríguez-Martín; Pablo Rodríguez-Gonzálvez. Suitability of Automatic Photogrammetric Reconstruction Configurations for Small Archaeological Remains. Sensors 2020, 20, 2936 .
AMA StyleManuel Rodríguez-Martín, Pablo Rodríguez-Gonzálvez. Suitability of Automatic Photogrammetric Reconstruction Configurations for Small Archaeological Remains. Sensors. 2020; 20 (10):2936.
Chicago/Turabian StyleManuel Rodríguez-Martín; Pablo Rodríguez-Gonzálvez. 2020. "Suitability of Automatic Photogrammetric Reconstruction Configurations for Small Archaeological Remains." Sensors 20, no. 10: 2936.
During university studies of nursing, it is important to develop emotional skills for their impact on academic performance and the quality of patient care. Thermography is a technology that could be applied during nursing training to evaluate emotional skills. The objective is to evaluate the effect of thermography as the tool for monitoring and improving emotional skills in student nurses through a case study. The student was subjected to different emotions. The stimuli applied were video and music. The process consisted of measuring the facial temperatures during each emotion and stimulus in three phases: acclimatization, stimulus, and response. Thermographic data acquisition was performed with an FLIR E6 camera. The analysis was complemented with the environmental data (temperature and humidity). With the video stimulus, the start and final forehead temperature from testing phases, showed a different behavior between the positive (joy: 34.5 °C–34.5 °C) and negative (anger: 36.1 °C–35.1 °C) emotions during the acclimatization phase, different from the increase experienced in the stimulus (joy: 34.7 °C–35.0 °C and anger: 35.0 °C–35.0 °C) and response phases (joy: 35.0 °C–35.0 °C and anger: 34.8 °C–35.0 °C). With the music stimulus, the emotions showed different patterns in each phase (joy: 34.2 °C–33.9 °C–33.4 °C and anger: 33.8 °C–33.4 °C–33.8 °C). Whenever the subject is exposed to a stimulus, there is a thermal bodily response. All of the facial areas follow a common thermal pattern in response to the stimulus, with the exception of the nose. Thermography is a technique suitable for the stimulation practices in emotional skills, given that it is non-invasive, it is quantifiable, and easy to access.
Pilar Marqués-Sánchez; Cristina Liébana-Presa; José Alberto Benítez-Andrades; Raquel Gundín-Gallego; Lorena Álvarez-Barrio; Pablo Rodríguez-Gonzálvez. Thermal Infrared Imaging to Evaluate Emotional Competences in Nursing Students: A First Approach through a Case Study. Sensors 2020, 20, 2502 .
AMA StylePilar Marqués-Sánchez, Cristina Liébana-Presa, José Alberto Benítez-Andrades, Raquel Gundín-Gallego, Lorena Álvarez-Barrio, Pablo Rodríguez-Gonzálvez. Thermal Infrared Imaging to Evaluate Emotional Competences in Nursing Students: A First Approach through a Case Study. Sensors. 2020; 20 (9):2502.
Chicago/Turabian StylePilar Marqués-Sánchez; Cristina Liébana-Presa; José Alberto Benítez-Andrades; Raquel Gundín-Gallego; Lorena Álvarez-Barrio; Pablo Rodríguez-Gonzálvez. 2020. "Thermal Infrared Imaging to Evaluate Emotional Competences in Nursing Students: A First Approach through a Case Study." Sensors 20, no. 9: 2502.
Simulation activities are a useful tool to improve competence in industrial engineering bachelors. Specifically, fluid simulation allows students to acquire important skills to strengthen their theoretical knowledge and improve their future professional career. However, these tools usually require long training times and they are usually not available in the subjects of B.Sc. degrees. In this article, a new methodology based on short lessons is raised and evaluated in the fluid-mechanical subject for students enrolled in three different bachelor degree groups: B.Sc. in Mechanical Engineering, B.Sc. in Electrical Engineering and B.Sc. in Electronic and Automatic Engineering. Statistical results show a good acceptance in terms of usability, learning, motivation, thinking over, satisfaction and scalability. Additionally, a machine-learning based approach was applied to find group peculiarities and differences among them in order to identify the need for further personalization of the learning activity.
Manuel Rodríguez-Martín; Pablo Rodríguez-Gonzálvez; Alberto Sánchez-Patrocinio; Javier Ramón Sánchez. Short CFD Simulation Activities in the Context of Fluid-Mechanical Learning in a Multidisciplinary Student Body. Applied Sciences 2019, 9, 4809 .
AMA StyleManuel Rodríguez-Martín, Pablo Rodríguez-Gonzálvez, Alberto Sánchez-Patrocinio, Javier Ramón Sánchez. Short CFD Simulation Activities in the Context of Fluid-Mechanical Learning in a Multidisciplinary Student Body. Applied Sciences. 2019; 9 (22):4809.
Chicago/Turabian StyleManuel Rodríguez-Martín; Pablo Rodríguez-Gonzálvez; Alberto Sánchez-Patrocinio; Javier Ramón Sánchez. 2019. "Short CFD Simulation Activities in the Context of Fluid-Mechanical Learning in a Multidisciplinary Student Body." Applied Sciences 9, no. 22: 4809.
Since the advent of the first Kinect as a motion controller device for the Microsoft XBOX platform (November 2010), several similar active and low-cost range sensing devices, capable of capturing a digital RGB image and the corresponding Depth map (RGB-D), have been introduced in the market. Although initially designed for the video gaming market with the scope of capturing an approximated 3D image of a human body in order to create gesture-based interfaces, RGB-D sensors’ low cost and their ability to gather streams of 3D data in real time with a frame rate of 15–30 fps, boosted their popularity for several other purposes, including 3D multimedia interaction, robot navigation, 3D body scanning for garment design and proximity sensors for automotive design. However, data quality is not the RGB-D sensors’ strong point, and additional considerations are needed for maximizing the amount of information that can be extracted by the raw data, together with proper criteria for data validation and verification. The present chapter provides an overview of RGB-D sensors technology and an analysis of how random and systematic 3D measurement errors affect the global 3D data quality in the various technological implementations. Typical applications are also reported, with the aim of providing readers with the basic knowledge and understanding of the potentialities and challenges of this technology.
Pablo Rodríguez-Gonzálvez; Gabriele Guidi. RGB-D Sensors Data Quality Assessment and Improvement for Advanced Applications. Guide to 3D Vision Computation 2019, 67 -86.
AMA StylePablo Rodríguez-Gonzálvez, Gabriele Guidi. RGB-D Sensors Data Quality Assessment and Improvement for Advanced Applications. Guide to 3D Vision Computation. 2019; ():67-86.
Chicago/Turabian StylePablo Rodríguez-Gonzálvez; Gabriele Guidi. 2019. "RGB-D Sensors Data Quality Assessment and Improvement for Advanced Applications." Guide to 3D Vision Computation , no. : 67-86.
The transition towards a new sustainable energy model—replacing fossil fuels with renewable sources—presents a multidisciplinary challenge. One of the major decarbonization issues is the question of to optimize energy transport networks for renewable energy sources. Within the range of renewable energies, the location and evaluation of geothermal energy is associated with costly processes, such as drilling, which limit its use. Therefore, the present research is aimed at applying different geomatic techniques for the detection of geothermal resources. The workflow is based on free/open access geospatial data. More specifically, remote sensing information (Sentinel-2A and Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER)), geological information, distribution of gravimetric anomalies, and geographic information systems have been used to detect areas of shallow geothermal potential in the northwest of the province of Orense, Spain. Due to the variety of parameters involved, and the complexity of the classification, a random forest classifier was employed, since this algorithm works well with large sets of data and can be used with categorical and numerical data. The results obtained allowed identifying a susceptible area to be operated on with a geothermal potential of 80 W·m−1 or higher.
David Lago González; Pablo Rodríguez-Gonzálvez. Detection of Geothermal Potential Zones Using Remote Sensing Techniques. Remote Sensing 2019, 11, 2403 .
AMA StyleDavid Lago González, Pablo Rodríguez-Gonzálvez. Detection of Geothermal Potential Zones Using Remote Sensing Techniques. Remote Sensing. 2019; 11 (20):2403.
Chicago/Turabian StyleDavid Lago González; Pablo Rodríguez-Gonzálvez. 2019. "Detection of Geothermal Potential Zones Using Remote Sensing Techniques." Remote Sensing 11, no. 20: 2403.
The three-dimensional registration of industrial facilities has a great importance for maintenance, inspection, and safety tasks and it is a starting point for new improvements and expansions in the industrial facilities context. In this paper, a comparison between the results obtained using a novel portable mobile mapping system (PMMS) and a static terrestrial laser scanner (TLS), widely used for 3D reconstruction in civil and industrial scenarios, is carried out. This comparison is performed in the context of industrial inspection tasks, specifically in the thermal and fluid-mechanics facilities in a hospital. The comparison addresses the general reconstruction of a machine room, focusing on the quantitative and qualitative analysis of different elements (e.g., valves, regulation systems, burner systems and tanks, etc.). The validation of the PMMS is provided considering the TLS as ground truth and applying a robust statistical analysis. Results come to confirm the suitability of the PMMS to perform inspection tasks in industrial facilities.
Manuel Rodríguez-Martín; Pablo Rodríguez-Gonzálvez; Esteban Ruiz De Oña Crespo; Diego González-Aguilera. Validation of Portable Mobile Mapping System for Inspection Tasks in Thermal and Fluid–Mechanical Facilities. Remote Sensing 2019, 11, 2205 .
AMA StyleManuel Rodríguez-Martín, Pablo Rodríguez-Gonzálvez, Esteban Ruiz De Oña Crespo, Diego González-Aguilera. Validation of Portable Mobile Mapping System for Inspection Tasks in Thermal and Fluid–Mechanical Facilities. Remote Sensing. 2019; 11 (19):2205.
Chicago/Turabian StyleManuel Rodríguez-Martín; Pablo Rodríguez-Gonzálvez; Esteban Ruiz De Oña Crespo; Diego González-Aguilera. 2019. "Validation of Portable Mobile Mapping System for Inspection Tasks in Thermal and Fluid–Mechanical Facilities." Remote Sensing 11, no. 19: 2205.
A new statistical method for the quality control of the positional accuracy, useful in a wide range of data sets, is proposed and its use is illustrated through its application to airborne laser scanner (ALS) data. The quality control method is based on the use of a multinomial distribution that categorizes cases of errors according to metric tolerances. The use of the multinomial distribution is a very novel and powerful approach to the problem of evaluating positional accuracy, since it allows for eliminating the need for a parametric model for positional errors. Three different study cases based on ALS data (infrastructure, urban, and natural cases) that contain non-normal errors were used. Three positional accuracy controls with different tolerances were developed. In two of the control cases, the tolerances were defined by a Gaussian model, and in the third control case, the tolerances were defined from the quantiles of the observed error distribution. The analysis of the test results based on the type I and type II errors show that the method is able to control the positional accuracy of freely distributed data.
Francisco Javier Ariza-López; José Rodríguez-Avi; Diego González-Aguilera; Pablo Rodríguez-Gonzálvez. A New Method for Positional Accuracy Control for Non-Normal Errors Applied to Airborne Laser Scanner Data. Applied Sciences 2019, 9, 3887 .
AMA StyleFrancisco Javier Ariza-López, José Rodríguez-Avi, Diego González-Aguilera, Pablo Rodríguez-Gonzálvez. A New Method for Positional Accuracy Control for Non-Normal Errors Applied to Airborne Laser Scanner Data. Applied Sciences. 2019; 9 (18):3887.
Chicago/Turabian StyleFrancisco Javier Ariza-López; José Rodríguez-Avi; Diego González-Aguilera; Pablo Rodríguez-Gonzálvez. 2019. "A New Method for Positional Accuracy Control for Non-Normal Errors Applied to Airborne Laser Scanner Data." Applied Sciences 9, no. 18: 3887.
3D documentation and reconstruction are decisive when inspecting archaeological sites without any direct contact or when monitoring the changes they have suffered over time are required. In addition, there is a great commitment with the preservation of heritage as well as with the awareness and dissemination of these historical sites. In this sense, this paper presents a visualization system with metric properties that will serve to manage and disseminate the archaeological site under study. Specifically, two techniques were used in an integrated way for the data acquisition: laser scanning and close-range photogrammetry. Both techniques come together in perfect marriage as remote data acquisition techniques to generate high quality 3D spatial products of this type of scenarios. A combined acquisition methodology is proposed in which the design of a network using reference spheres and targets is the key to link data from both technologies. This paper will describe the proposed methodology and the results obtained in the archaeological site of Cueva Pintada in Gran Canaria (Spain) which has an area of around 5400 m2. As final products: (i) a laser model of ± 1.68 mm accuracy and 5 mm resolution, (ii) a photorealistic photogrammetric model of ± 8.4 mm accuracy and 1.47 mm of spatial resolution thanks to a specific pole developed for this purpose and (iii) a virtual tour with metric properties of the whole archaeological site were obtained.
S. Del Pozo; P. Rodríguez-Gonzálvez; D. Hernández-López; J. Onrubia-Pintado; D. González-Aguilera. SENSOR FUSION FOR 3D ARCHAEOLOGICAL DOCUMENTATION AND RECONSTRUCTION: CASE STUDY OF “CUEVA PINTADA” IN GALDAR, GRAN CANARIA. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences 2019, XLII-2/W15, 373 -379.
AMA StyleS. Del Pozo, P. Rodríguez-Gonzálvez, D. Hernández-López, J. Onrubia-Pintado, D. González-Aguilera. SENSOR FUSION FOR 3D ARCHAEOLOGICAL DOCUMENTATION AND RECONSTRUCTION: CASE STUDY OF “CUEVA PINTADA” IN GALDAR, GRAN CANARIA. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. 2019; XLII-2/W15 ():373-379.
Chicago/Turabian StyleS. Del Pozo; P. Rodríguez-Gonzálvez; D. Hernández-López; J. Onrubia-Pintado; D. González-Aguilera. 2019. "SENSOR FUSION FOR 3D ARCHAEOLOGICAL DOCUMENTATION AND RECONSTRUCTION: CASE STUDY OF “CUEVA PINTADA” IN GALDAR, GRAN CANARIA." The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W15, no. : 373-379.
Manuel Rodríguez‐Martín; Pablo Rodríguez‐Gonzálvez. Learning methodology based on weld virtual models in the mechanical engineering classroom. Computer Applications in Engineering Education 2019, 27, 1113 -1125.
AMA StyleManuel Rodríguez‐Martín, Pablo Rodríguez‐Gonzálvez. Learning methodology based on weld virtual models in the mechanical engineering classroom. Computer Applications in Engineering Education. 2019; 27 (5):1113-1125.
Chicago/Turabian StyleManuel Rodríguez‐Martín; Pablo Rodríguez‐Gonzálvez. 2019. "Learning methodology based on weld virtual models in the mechanical engineering classroom." Computer Applications in Engineering Education 27, no. 5: 1113-1125.
Under the framework of the modern theory of restoration, this paper shows the experimental results obtained during the structural diagnosis of one of the most important master gates inside the military modern complex of Almeida in Portugal: the inner master gate of Saint Antonio. This master gate was conceived with the aim of supporting the siege of an early modern army, using to this end a masonry framework filled by a natural soil able to absorb the impacts. However, this infill is promoting the disaggregation of the masonry and thus the reduction of its bearing capacity. In order to evaluate the current and future structural behaviour, it is proposed a method able to combine the terrestrial laser scanner with the limit analysis for masonry constructions. The results obtained by this combination shows that the major barrel vault has, in its current conservation state, enough bearing capacity to support an agglomeration of people. However, it is recommended a material restitution in order to recover the contact are between masonry blocks as well as to recover the architectural interpretation of the element.
L. J. Sanchez-Aparicio; P. Rodriguez-Gonzalvez; D. Gonzalez-Aguilera; L. F. Ramos. EVALUATING THE STRUCTURAL INTEGRITY OF THE SAINT ANTONIO BARREL VAULT IN THE FORTRESS OF ALMEIDA BY COMBINING LASER SCANNER AND LIMIT ANALYSIS. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences 2019, XLII-2/W9, 679 -684.
AMA StyleL. J. Sanchez-Aparicio, P. Rodriguez-Gonzalvez, D. Gonzalez-Aguilera, L. F. Ramos. EVALUATING THE STRUCTURAL INTEGRITY OF THE SAINT ANTONIO BARREL VAULT IN THE FORTRESS OF ALMEIDA BY COMBINING LASER SCANNER AND LIMIT ANALYSIS. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. 2019; XLII-2/W9 ():679-684.
Chicago/Turabian StyleL. J. Sanchez-Aparicio; P. Rodriguez-Gonzalvez; D. Gonzalez-Aguilera; L. F. Ramos. 2019. "EVALUATING THE STRUCTURAL INTEGRITY OF THE SAINT ANTONIO BARREL VAULT IN THE FORTRESS OF ALMEIDA BY COMBINING LASER SCANNER AND LIMIT ANALYSIS." The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W9, no. : 679-684.
Cultural heritage (CH) documentation is essential for the study and promotion of CH assets/sites, and provides a way of transmitting knowledge about heritage to future generations. The integration of the fourth dimension into geospatial datasets enables generating a diachronic model of CH elements, namely, a set of three-dimensional (3D) models to represent their evolution in various historical phases. The enhanced four-dimensional (4D) modeling (3D plus time) pursues a better understanding of the CH scenario, enriching historical hypotheses as well as contributing to the conservation and decision-making process. Although new geomatic techniques have reduced the amount of fieldwork, when put together, the geometric and temporal dimensions imply the interpretation of heterogeneous historical information sources and their integration. However, this situation could reach a critical point when the study elements are no longer present. The main challenge is to harmonize the different historical and archaeological data sources that are available with the current remains in order to graphically rebuild and model the lost CH assets with a high degree of reliability. Moreover, 4D web visualization is a great way to disclose the CH information and cultural identity. Additionally, it will serve as a basis to perform simulations of possible future risks or changes that can happen during planned or hypothetical restoration processes. This paper aims to examine the study case of a diachronic reconstruction by means of a mobile laser system (MLS) and reverse modeling techniques for a lost urban CH element: the citadel or Alcázar gate of Ávila. Within this aim, the final model is evaluated in terms of the consistency of the historical sources to assess its suitability considering the constructive interpretations that are required to integrate heterogenous data sources. Moreover, geometric modeling is evaluated regarding the current remains and its surroundings. Finally, a web 4D viewer is presented for its dissemination and publicity. This paper is an extended and improved version of our paper that was published in the 2018 ISPRS Technical Commission II Symposium, Riva del Garda, Italy, 3–7 June 2018.
Pablo Rodríguez-Gonzálvez; Ángel Guerra Campo; Ángel L. Muñoz-Nieto; Luis J. Sánchez-Aparicio; Diego González-Aguilera. Diachronic Reconstruction and Visualization of Lost Cultural Heritage Sites. ISPRS International Journal of Geo-Information 2019, 8, 61 .
AMA StylePablo Rodríguez-Gonzálvez, Ángel Guerra Campo, Ángel L. Muñoz-Nieto, Luis J. Sánchez-Aparicio, Diego González-Aguilera. Diachronic Reconstruction and Visualization of Lost Cultural Heritage Sites. ISPRS International Journal of Geo-Information. 2019; 8 (2):61.
Chicago/Turabian StylePablo Rodríguez-Gonzálvez; Ángel Guerra Campo; Ángel L. Muñoz-Nieto; Luis J. Sánchez-Aparicio; Diego González-Aguilera. 2019. "Diachronic Reconstruction and Visualization of Lost Cultural Heritage Sites." ISPRS International Journal of Geo-Information 8, no. 2: 61.
Weld bead detection is essential for automated welding inspection processes. Non-invasive passive techniques, such as photogrammetry, are quickly evolving to provide a 3D point cloud with submillimeter precision and spatial resolution. However, its application in weld visual inspection has not been extensively studied. The derived 3D point clouds, despite the lack of topological information, store significant information for the weld-plaque segmentation. Although weld bead detection is being carried out over images or based on laser profiles, its characterization by means of 3D geometrical features have not been assessed. Moreover, it is possible combine machine learning approaches and the 3D features in order to realize the full potential of weld bead segmentation of 3D submillimeter point clouds. In the present manuscript, the novelty is focused in the study of 3D features on real cases to identify the most relevant ones for weld bead detection on the basis of the information gain. For this novel contribution the influence of neighborhood size for covariance matrix computation, decision tree algorithms and split criteria are analyzed to assess the optimal results. Classification accuracy is evaluated by the degree of agreement of the classified data by the kappa index and the area under the receiver operating characteristic (ROC) curve. Experiments show that the proposed novel methodology performs better than 0.85 for the kappa index, and better than 0.95 for ROC area.
Pablo Rodriguez-Gonzalvez; Manuel Rodriguez-Martin. Weld Bead Detection Based on 3D Geometric Features and Machine Learning Approaches. IEEE Access 2019, 7, 14714 -14727.
AMA StylePablo Rodriguez-Gonzalvez, Manuel Rodriguez-Martin. Weld Bead Detection Based on 3D Geometric Features and Machine Learning Approaches. IEEE Access. 2019; 7 (99):14714-14727.
Chicago/Turabian StylePablo Rodriguez-Gonzalvez; Manuel Rodriguez-Martin. 2019. "Weld Bead Detection Based on 3D Geometric Features and Machine Learning Approaches." IEEE Access 7, no. 99: 14714-14727.
Manuel Rodriguez-Martin; Pablo Rodriguez-Gonzalvez; Diego Gonzalez-Aguilera; Erica Nocerino. Novel Approach for Three-Dimensional Integral Documentation of Machine Rooms in Hospitals Using Portable Mobile Mapping System. IEEE Access 2018, 6, 79200 -79210.
AMA StyleManuel Rodriguez-Martin, Pablo Rodriguez-Gonzalvez, Diego Gonzalez-Aguilera, Erica Nocerino. Novel Approach for Three-Dimensional Integral Documentation of Machine Rooms in Hospitals Using Portable Mobile Mapping System. IEEE Access. 2018; 6 ():79200-79210.
Chicago/Turabian StyleManuel Rodriguez-Martin; Pablo Rodriguez-Gonzalvez; Diego Gonzalez-Aguilera; Erica Nocerino. 2018. "Novel Approach for Three-Dimensional Integral Documentation of Machine Rooms in Hospitals Using Portable Mobile Mapping System." IEEE Access 6, no. : 79200-79210.