0000000001098897
AUTHOR
L Alonso
Orbscan Pachymetry: Differences between observers when carrying out measurements of the corneal thickness
espanolObjetivo: Estudiar el espesor corneal y la variabilidad entre observadores de las mediciones del espesor corneal empleando paquimetria Orbscan. Metodos: Analizamos el espesor corneal central y paracentral de 30 sujetos (n=30) cuya edad oscilaba entre 19 y 38 anos (media 27,27 D.E. 5,25) con el Sistema Topografico Orbscan II (Orbscan, Inc., Salt Lake City, UT, USA). La media de cinco mediciones consecutivas del espesor corneal fue obtenida por dos diferentes observadores. Los resultados obtenidos por los dos observadores se compararon. Resultados: No se encontraron diferencias significativas entre los valores medios del espesor corneal de los observadores en la cornea central (p=0,749…
New Cloud Detection Algorithm for Multispectral and Hyperspectral Images: Application to ENVISAT/MERIS and PROBA/CHRIS Sensors
This work presents a new methodology that faces the problem of accurate identification of location and abundance of clouds in multispectral images acquired by space-borne sensors working in the visible and near-infrared (VNIR) spectral range. The amount of images acquired over the globe every day by the instruments on board Earth Observation satellites makes inevitable that many of these images present cloud covers. The objective of this work is to develop and validate a method that takes advantage of the high spectral and radiometric resolution, and the specific band locations (e.g. the oxygen band) of present multispectral sensors to increase the cloud detection accuracy. Moreover, the me…
Multi-resolution spatial unmixing for MERIS and Landsat image fusion
Nowadays, the increasing quantity of applications using images from Earth Observation satellites makes demanding better spatial, spectral and temporal resolutions. Nevertheless, due to the technical constraint of a trade off between spatial and spectral resolutions, and between spatial resolution and coverage, high spatial resolution is related with low spectral and temporal resolutions and vice versa. Data fusion methods are a good solution to combine information from multiple sensors in order to obtain image products with better characteristics. In this paper, we propose an image fusion approach based on a multi-resolution and multi-source unmixing. The proposed methodology yields a compo…