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Improving nonlinear dimensionality reduction algorithms for hyperspectral data
(2010)
Dimensionality reduction is a key step in hyperspectral image processing due to the large amount of data. Linear and nonlinear approaches have been proposed. The most important parameters on the majority of nonlinear ...
Design of a reconfiguration controller for a dc zonal distribution system
(2005)
The use of DC Zonal System (DCZEDS) is evaluated as a potential simulation testbed for self-reconfigurable control research in electric power distribution systems. The DCZEDS is a SIMULINKTM implementation of a Ship DC ...
Gray box modeling of electric drives using radial basis functions: an experimental case
(2006)
Modeling of electric drives coupled to complex mechanical loads may be a challenging task. Since the electric drives are commonly used in the industry, for many applications is desirable to have the capability of self-tuning ...
Evaluation of different structured models for target detection in hyperspectral imagery
(2010)
Target detection is an essential component in defense, security and medical applications of hyperspectral imagery. Structured and unstructured models are used to model variability of spectral signatures for the design of ...
A variable dimension gauss-newton method for ill- conditioned parameter estimation with application to a synchronous generator
(2005)
This thesis presents a variable dimension Gauss-Newton (VDGN) parameter estimation algorithm that can be used for fault detection, and diagnosis of a synchronous generator. The algorithm is derived as an extension of the ...
Multispectral image deblurring
(2007)
In this project, we implemented iterative algorithms for deblurring multispectral images. Deblurring was performed in a per channel basis. The algorithms were applied to LANDSAT-4 imagery of Puerto Rico. Deblurring methods ...
Improved gray-box modeling of electric drives using neural networks
(2003)
Electric drives are used in many industrial and commercial applications. High performance control of electric drives requires the accurate modeling of the motor and mechanical load. In many industrial applications, it is ...
Understanding the effect of spatial resolution on unmixing algorithms for hyperspectral imagery
(2010)
This research work presents an experimental study on unmixing of hyperspectral images at different spatial resolutions. The study looks at how the assumptions made in the unmixing procedure affects the results of the ...
Hyperspectral change detection using temporal principal component analysis
(2005)
This work deals with the detection of changes using hyperspectral images. Change detection is the process of automatically identifying and analyzing regions that have undergone spatial or spectral changes from multi temporal ...
Soft classification of hyperspectral imagery based on linear mixing model and supervised fuzzy logic algorithms
(2008)
Hyperspectral Imagery (HSI) is an important technology used in remote sensing and plays an important role in environmental remote sensing because it provides valuable spectral information of the objects in the scene. Using ...