RT info:eu-repo/semantics/bachelorThesis
T1 Detección automática de meteoros en redes de cámaras comerciales de seguridad
A1 Rodríguez Alarcón, Miguel
K1 meteoros
AB The recovery of meteorites is one of the most valuable resources to provide clues tounderstand the origin, formation and composition of our Solar System. Thousandsof them hit the Earth’s atmosphere every day, but the vast majority disintegrate fastly during their path and do not reach the ground. In contact with the airmolecules and due to their high kinetic energies, they leave luminous trails in thesky, called meteors, from which it is possible to calculate their trajectory, bothbefore entering, in their orbit, and later, when they impact. Having appropriateinstruments to detect them at its entry and being able to analyze all the dataobtained with them is necessary so, in case of impact, we can know the locationand origin of the meteorite. In this work, the architecture of the Fireball Alertand Exploration Terrestial Observation Network (FAETON) meteor network hasbeen implemented, which uses commercial video surveillance cameras for detecting bright meteors. In addition, a software for processing the image sequences,analyzing them and confirming the presence of meteors has been developed. Furthermore, different techniques currently used in Computer Vision have been introduced, with the intention of enlarging the state-of-the-art in the tracing andcharacterization of its trajectory in images with geometric distortion. A total of2824 possible detections have been analyzed using Neural Networks, reaching aprecision of 88.0 % in correctly classified meteors and a 4.6 % of false positives.
YR 2019
FD 2019
LK http://riull.ull.es/xmlui/handle/915/15729
UL http://riull.ull.es/xmlui/handle/915/15729
LA es
DS Repositorio institucional de la Universidad de La Laguna
RD 27-dic-2024