CEIG18
https://diglib.eg.org:443/handle/10.2312/2632545
ISBN 978-3-03868-067-32024-03-28T13:40:09Z3D Mapping Approach to Analyze the Evolution of Vegetation Using Multispectral Imagery
https://diglib.eg.org:443/handle/10.2312/ceig20181166
3D Mapping Approach to Analyze the Evolution of Vegetation Using Multispectral Imagery
Jurado, Juan Manuel; Ortega, Lidia; Feito, Francisco Ramón
García-Fernández, Ignacio and Ureña, Carlos
The 3D simulation for the evolution process of crop types requires the management of large volume of data to make an accurate analysis of functional and structural vegetation characteristics. In fact, current geomatics technologies allow the capture of massive and heterogeneous data with a great spatial resolution. Regarding research advances for precision agriculture applications Unmanned Aerial Vehicles (UAV)-based remote sensing offers great possibilities to acquire field data in a fast and reliable way. The main aim of this paper is twofold: (1) the study of multispectral imaging from UAVs for reflectance maps calculation, (2) 3D mapping and modeling using RGB and multispectral imagery in order to create a 3D NDVI (Normalized Difference Vegetation Index) point cloud. We are focussed on 4D inspection of olive trees including spatio-temporal data for reflectance change detection in multispectral remote sensing images.
2018-01-01T00:00:00ZA Visual Interface for Feature Subset Selection Using Machine Learning Methods
https://diglib.eg.org:443/handle/10.2312/ceig20181165
A Visual Interface for Feature Subset Selection Using Machine Learning Methods
Rojo, Diego; Raya, Laura; Rubio-Sánchez, Manuel; Sánchez, Alberto
García-Fernández, Ignacio and Ureña, Carlos
Visual representation of information remains a key part of exploratory data analysis. This is due to the high number of features in datasets and their increasing complexity, together with users' ability to visually understand information. One of the most common operations in exploratory data analysis is the selection of relevant features in the available data. In multidimensional scenarios, this task is often done with the help of automatic dimensionality reduction algorithms from the machine learning field. In this paper we develop a visual interface where users are integrated into the feature selection process of several machine learning algorithms. Users can work interactively with the algorithms in order to explore the data, compare the results and make the appropriate decisions about the feature selection process.
2018-01-01T00:00:00ZA Procedural Approach for Thermal Visualization on Buildings
https://diglib.eg.org:443/handle/10.2312/ceig20181164
A Procedural Approach for Thermal Visualization on Buildings
Muñoz, David; Besuievsky, Gonzalo; Patow, Gustavo A.
García-Fernández, Ignacio and Ureña, Carlos
Thermal behaviour analysis on buildings is an important goal for all tasks involving energy flow simulation in urban environments. One of the most widely used simplified thermal models is based on an electrical analogy, where nodes are set to simulate and solve a circuit network. In this paper we propose a procedural approach for automatically locate the nodes of the circuit, according to the building structure. We provide a conceptual technique to efficiently visualize thermal variations over time in buildings. We show that we can simulate and visually represent the variations of the interior temperatures of a building over a period of time. We believe that the technique could be helpful for rapid analysis for changing building parameters, such as materials, dimensions or number of floors.
2018-01-01T00:00:00ZLeoMCAD: A Lego-based Mechanical CAD system
https://diglib.eg.org:443/handle/10.2312/ceig20181163
LeoMCAD: A Lego-based Mechanical CAD system
García, Francisco González; Martín, Jesús Amador Pérez; Patow, Gustavo A.
García-Fernández, Ignacio and Ureña, Carlos
Mechanical Design (MCAD) tools are used for creating 3D digital prototypes used in the design, visualization, and simulation of products. In this paper we present LeoMCAD, a Lego-based mechanical system designed to be used as an education tool both for kids and Lego hobbyists; but which features a novel solver that naturally and seamlessly computes the interaction between the pieces that build-up a given model, solving an otherwise complex forward kinematic system of equations in a much simpler way. The results show how our system is able to cope with situations that would produce dead-lock situations in more advanced commercial systems.
2018-01-01T00:00:00Z