Técnicas de reducción dimensional de imágenes hiperespectrales sobre hardware reconfigurable
Loading...
Download
Official URL
Full text at PDC
Publication date
2024
Defense date
30/05/2024
Authors
Advisors (or tutors)
Editors
Journal Title
Journal ISSN
Volume Title
Publisher
Universidad Complutense de Madrid
Citation
Abstract
Las últimas décadas han sido el periodo de consolidación de la tecnología hiperespectral. Las técnicas espectrales se han afianzado como un nuevo eslabón dentro de las cadenas productivas en multitud de industrias de diferente índole, sectores tan diversos como la biomedicina, el sector minero o la industria agroalimentaria. El análisis de datos hiperespectrales permite identificar la composición, estructura y propiedades de elementos de la escena mediante el reconocimiento de patrones dentro del espectro electromagnético, siendo posible identificar materiales.La consolidación de la tecnología espectral ha hecho posible aumentar el interés de grupos de investigación e inversores, permitiendo el desarrollo de nuevos modelos e espectrómetros que han ido incrementando de manera gradual la resolución espectral, espacial, radiométrica y temporal de los dispositivos, mejorando la sensibilidad del espectro que es capaz de capturar, aumentando el número de píxeles obtenidos en cada barrido del terreno e incrementando las tasas de lectura por unidad de tiempo, reduciendo así los tiempos de captura e incrementando la precisión de los datos espectrales...
The last few decades have been a period of consolidation of hyperspectral technology. Spectral techniques have established themselves as a new link within the prodcuction chains in a multitude of industries of different kinds, sectors as diverse as biomedicine, the mining sector, or the agri-food industry. The analysis hyperspectral data allows the identification of the composition, structure, and properties of elements in a scene through the recognition of patterns within the electromagnetic spectrum, making it possible to identify materials. The consolidation of spectral technology has made it possible to increase the interest of research groups and investors, allowing the development of new spectrometer models that have gradually increased the spectral, spatial, dadiometric, and temporal resolution of the devices, improving the sensitivity of the spectrum that it is capable of capturing, increasing the number of pixels obtained in each terrain sweep, and increasing the reading rates per unit of time, thus reducing capture tiemes and increasing the precicion of the spectral data...
The last few decades have been a period of consolidation of hyperspectral technology. Spectral techniques have established themselves as a new link within the prodcuction chains in a multitude of industries of different kinds, sectors as diverse as biomedicine, the mining sector, or the agri-food industry. The analysis hyperspectral data allows the identification of the composition, structure, and properties of elements in a scene through the recognition of patterns within the electromagnetic spectrum, making it possible to identify materials. The consolidation of spectral technology has made it possible to increase the interest of research groups and investors, allowing the development of new spectrometer models that have gradually increased the spectral, spatial, dadiometric, and temporal resolution of the devices, improving the sensitivity of the spectrum that it is capable of capturing, increasing the number of pixels obtained in each terrain sweep, and increasing the reading rates per unit of time, thus reducing capture tiemes and increasing the precicion of the spectral data...
Description
Tesis inédita de la Universidad Complutense de Madrid, Facultad de Informática, Departamento de Arquitectura de Computadores y Automática, leída el 30-05-2024