UNLABELLED This study investigates the ability of artificial neural networks (ANN) to simultaneously correct for attenuation and Compton scattering in scintigraphic imaging. METHODS Three sets of experiments are conducted using images of radioactive sources with various shapes and distributions in a homogeneous medium. Numerical Monte Carlo simulations and physical phantom acquisitions of rad...

Optical imaging systems often suffer from distortion artifacts which impose important limitations on the direct interpretation of the images. It is possible to correct for these aberrations through image processing, but due to their calculation-intensive nature, the required corrections are typically performed offline. However, with image-based applications that operate interactively, real-time...

There is an optimization method for the geometric correction of Landsat images, which uses a simulated direct solar irradiance image made from a digital elevation model (DEM) and a solar direction to determine parameters of the geometric transfer equations. The optimization method is quite simple, and also allows us high accuracy geometric correction in sub-pixel order. However, promising in pr...

The present study develops a novel partly automatic ground control point (GCP) matching model, which can resolve the problem of GCP matching when carrying out geometric correction for two digital aerial images (DAI). The study uses two DAIs taken at different periods as its cases. The first image is the base image, while the second image is the warp image. We first use the Needleman-Wunsch algo...

soil moisture is one of the critical parameters in climatic, ecological and hydrological modeling and vegetation growth. soil moisture is important for environmental studies but due to ground-based point measurement of soil moisture is expensive and impractical for watershed measurement, this parameter is not be used widely to simulate and predict models. overall and uniform view on different p...

RESUME The geometric correction of remote sensing images is a preprocessing step required for most applications and studies. The success of CHRIS/PROBA as scientific mission is producing a large archive of image sets that is continuously growing. Although the geometric correction problem is already solved by means of ground control points (GCP) or image corregistration techniques, these methods...

In this proposal, we focus on the geometric registration of images with arbitrarilyshaped locally varying intensity changes due to shadows or occlusions that tend to degrade the performance of geometric registration, thereby degrading subsequent processing; such as image mosaicking, and super-resolution. The traditional algorithms assume only global intensity variation correction, thus can not ...

D. Yeo, J. A. Fessler, B. Kim Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, United States, Radiology, University of Michigan Medical School, Ann Arbor, MI, United States Introduction: The accuracy of measuring voxel intensity changes between stimulus and rest images in fMRI echo-planar imaging (EPI) data, from which brain activation maps are computed, is se...