Abstract This paper presents a robust approach using artificial neural networks in the form of a Self Organizing Map (SOM) as a semi-automatic method for analysis and identification of morphometric features in two completely different environments, the Man and Biosphere Reserve “Eastern Carpathians” (Central Europe) in a complex mountainous humid area and Yardangs in Lut Desert, Iran, a hyper...

Mundialmente, o uso de modelos terreno a partir um tratamento matemático sobre dados disponibilizados gratuitamente é uma constante, como são os casos dos Shuttle Radar Topography Mission (SRTM), Advanced Land Observing Satellite Phased Array type L-band Synthetic Aperture (ALOS PALSAR), Spaceborne Thermal Emission and Reflection Radiometer (ASTER), Alos World 3D (AW3D), Global Digital Elevatio...

abstract this paper presents a robust approach using artificial neural networks in the form of a self organizing map (som) as a semi-automatic method for analysis and identification of morphometric features in two completely different environments, the man and biosphere reserve “eastern carpathians” (central europe) in a complex mountainous humid area and yardangs in lut desert, iran, a hyper a...

The aim of this study on dopamine transporter binding by [18F]FE-PE2I and PET was to describe an image-derived approach using reference tissue models: the Logan DVR approach and simplified reference tissue model (SRTM), the features of which were simple to operate and precise in the measurements. Using the approach, the authors sought to obtain binding images and parameters. [18F]FE-PE2I and dy...

Input function noise contributes to model-predicted values and should be accounted for during parameter estimation. This problem has been examined in the context of PET data analysis using a noisy image-derived arterial input function. Huesman and Mazoyer (1987 Phys. Med. Biol 32 1569-79) incorporated the effect of error in the measured input function into the objective function and observed a ...