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 ...

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 ...

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 ...

Power electronics is a field that has a high demand today and it also has a great importance in our technology world. Therefore, it is necessary to develop modeling and simulation tools that allow the development of system ...

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 ...