According to the industrial requirement for optical imaging, particularly in microscopic imaging, resolution improvement is one of the most important issues. In digital microscopic imaging, resolution of an optical system is limited by both optical parameters such as light wavelength and the objective lens numerical aperture and by spatial sampling such as pixel size of charge-coupled device ca...

When monitoring deforestation, frequent images with an optimal spatial resolution are required. But in reality either images with low spatial resolution and a high revisit frequency or high spatial resolution images with a low revisit time are available. Combining different spatial and temporal resolutions could solve this problem. The study site in the Colombian Amazon contains small fields wi...

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We study the focusing properties of a two dimensional complex square-lattice photonic crystal (PC) comprising air holes immersed in Ge medium. The finite difference time domain (FDTD) method is utilized to calculate the dispersion band diagram and to simulate the image formation incorporating the perfectly matched layer (PML) boundary condition. In contrast to the common square PCs with the sam...

This work proposes the use of Genetic Algorithms (GA) as an optimization method for the Linear Mixture Model (LMM), with the purpose of fusing multispectral images that preserve the best spatial and spectral features of the source images. The algorithm proposed has been evaluated for images registered by the Landsat 7 ETM+ sensor. In this study, the high spatial resolution image (HSRI) correspo...

According to the industrial requirement for optical imaging, particularly in microscopic imaging, resolution improvement is one of the most important issues. In digital microscopic imaging, resolution of an optical system is limited by both optical parameters such as light wavelength and the objective lens numerical aperture and by spatial sampling such as pixel size of charge-coupled device ca...

Facedwith the prevalence ofmulti-spatial resolution satellite data sets, selecting data with an appropriate resolution has become a new problem. This paper analyses the significance of scale selection of remote sensing images and discusses a geo-statistics based method for selecting the optimal spatial resolution of a remote sensing image. Breaking through the limitation of traditional average ...

BACKGROUND Recent studies have demonstrated conflicting mechanisms underlying atrial fibrillation (AF), with the spatial resolution of data often cited as a potential reason for the disagreement. The purpose of this study was to investigate whether the variation in spatial resolution of mapping may lead to misinterpretation of the underlying mechanism in persistent AF. METHODS AND RESULTS Sim...