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An adaptive spectrally weighted structure tensor applied to tensor anisotropic nonlinear diffusion for hyperspectral images
(2012)
The structure tensor for vector valued images is most often defined as the average of the scalar structure tensors in each band. The problem with this definition is the assumption that all bands provide the same amount ...
Unsupervised unmixing of hyperspectral imagery using the constrained positive matrix factorization
(2007)
In hyperspectral imaging, hundreds of images are taken at narrow and contiguous spectral bands providing us with high spectral resolution spectral signatures that can be used to discriminate between objects. In many ...
Geometric scale-space framework for the analysis of hyperspectral imagery
(2007)
This work introduces a framework for a fast and algorithmically scalable multiscale representation and segmentation of hyperspectral imagery. The framework is based on the scale-space representation generated by geometric ...
Diseño de un esquema de control para extracción de máxima potencia en un sistema turbina-generador eólico de baja potencia
(2010)
This document presents the modeling of a wind turbine-generator system and developing a control scheme for maximum power extraction. The system comprises a low-power variable speed wind rotor coupled to a squirrel cage ...
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 ...
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 ...
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 ...
Hierarchy control of hybrid power system
(2007)
In this thesis, we present a Hierarchical control of Hybrid Power Systems (HPS) that consist of a Wind Turbine, Photovoltaic Panels, connection to the AC utility, a Battery Bank, and a zonal model of a load. The hierarchical ...
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 ...
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 ...