Now showing items 1-6 of 6
Automatic person authentication using fewer channel EEG motor imagery
In today's world, there are different aspects of security in which appropriate computing technologies play an essential role. One such aspect is person's identification. While there are numerous ways to identify a person, ...
Parallel implementation of nonlinear dimensionality reduction methods using cuda in gpu
Manifold learning, is one of the methods for nonlinear dimensionality reduction, which affords a way to understand and visualize the structure of nonlinear hyperspectral datasets. These methods use graphs to represent the ...
Object recognition using spherical harmonics shape descriptor in hyperspectral imagery
Object recognition in hyperspectral and multispectral imagery has been studied in the last decade. The different approaches to recognition over hyperspectral images are based on spectral behavior, ignoring the shape behavior. ...
Automatic target detection in hyperspectral images using level sets
A novel variational method using level sets that incorporate spectral angle distance in the model for automatic target detection is presented. Algorithms are presented for detecting both spatial and pixel targets. The new ...
Object segmentation in hyperspectral images using graph cuts based on active contours
The interest in object segmentation on hyperspectral images is increasing and many approaches have been proposed to deal with this area. In this project, we develop an algorithm that combines both the active contours and ...
Hyperspectral texture synthesis algorithms
Hyperspectral images have textured regions and in many cases there are not sufficient samples to train classifiers. By simulating more samples that are self-similar to the original texture efficient classifiers can be ...