No abstract

Nowadays, techniques in digital image processing make it possible to detect damage, such as moisture or biological changes, on the surfaces of historical buildings. Digital classification techniques can be used to identify damages in construction materials in a non-destructive way. In this study, we evaluate the application of the object-oriented classification technique using photographs taken with a Fujifilm IS-Pro digital single lens reflex camera and the integration of the classified images in a three-dimensional model obtained through terrestrial laser scanning data in order to detect and locate damage affecting biocalcarenite stone employed in the construction of the Santa Marina Church (Córdoba, Spain). The Fujifilm IS-Pro camera captures spectral information in an extra-visible range, generating a wide spectral image with wavelengths ranging from ultraviolet to infrared. Techniques of object-oriented classification were applied, taking into account the shapes, textures, background information and spectral information in the image. This type of classification requires prior segmentation, defined as the search for homogeneous regions in an image. The second step is the classification process of these regions based on examples. The output data were classified according to the kind of damage that affects the biocalcarenite stone, reaching an overall classification accuracy of 92% and an excellent kappa statistic (85.7%). We have shown that multispectral classification with visible and near-infrared bands increased the degree of recognition among different damages. Post-analysis of these data integrated in a three-dimensional model allows us to obtain thematic maps with the size and position of the damage.

Golf courses can be considered as precision agriculture, as being a playing surface, their appearance is of vital importance. Areas with good weather tend to have low rainfall. Therefore, the water management of golf courses in these climates is a crucial issue due to the high water demand of turfgrass. Golf courses are rapidly transitioning to reuse water, e.g., the municipalities in the USA are providing price incentives or mandate the use of reuse water for irrigation purposes; in Europe this is mandatory. So, knowing the turfgrass surfaces of a large area can help plan the treated sewage effluent needs. Recycled water is usually of poor quality, thus it is crucial to check the real turfgrass surface in order to be able to plan the global irrigation needs using this type of water. In this way, the irrigation of golf courses does not detract from the natural water resources of the area. The aim of this paper is to propose a new methodology for analysing geometric patterns of video data acquired from UAVs (Unmanned Aerial Vehicle) using a new Hierarchical Temporal Memory (HTM) algorithm. A case study concerning maintained turfgrass, especially for golf courses, has been developed. It shows very good results, better than 98% in the confusion matrix. The results obtained in this study represent a first step toward video imagery classification. In summary, technical progress in computing power and software has shown that video imagery is one of the most promising environmental data acquisition techniques available today. This rapid classification of turfgrass can play an important role for planning water management.

No abstract

No abstract

No abstract

El desarrollo de las tecnologías de la información y la comunicación (TIC) ha permitido el surgimiento de herramientas didácticas en el campo de la educación, proporcionando herramientas prácticas para apoyar a las clases presenciales. En este contexto, los sistemas electrónicos de respuesta estudiantil pueden ser útiles para introducir un elemento tecnológico motivador en las lecciones, así como una nueva metodología. En este estudio, además del uso de los sistemas de respuesta interactiva o clickers, se ha introducido la tecnología de aprendizaje móvil mediante la elaboración de una metodología de uso de las herramientas Kahoot y Telegram en la asignatura "Fundamentos Físicos en la Ingeniería II" del Grado en Ingeniería Electrónica Industrial. El Departamento de Física Aplicada de la Universidad de Córdoba tiene una amplia experiencia en el uso de Clickers en clases teóricas con grupos grandes para diferentes grados universitarios, pero ahora el uso de tecnologías móviles de aprendizaje se ha introducido en grupos de tamaño medio para clases prácticas. Usando esta nueva metodología, los estudiantes de grupos medianos realizan un cuestionario durante la lección de resolución de problemas, donde utilizaron sus conocimientos adquiridos durante la clase. La realización del cuestionario permite a los profesores evaluar en tiempo real el nivel del estudiante y utilizar la retroalimentación para abordar los problemas iniciales y los malentendidos. Los resultados muestran que los sistemas de respuesta interactiva son altamente valorados por los estudiantes, que lo perciben como una herramienta para mejorar el aprendizaje y aumentar la competencia en el aula.

The objective of this paper was the development of a methodology for the classification of digital aerial images, which, with the aid of object-based classification and the Normalized Difference Vegetation Index (NDVI), can quantify agricultural areas, by using algorithms of expert classification, with the aim of improving the final results of thematic classifications. QuickBird satellite images and data of 2532 plots in Hinojosa del Duque, Spain, were used to validate the different classifications, obtaining an overall classification accuracy of 91.9% and an excellent Kappa statistic (87.6%) for the algorithm of expert classification.