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Unsupervised unmixing of hyperspectral imagery using the constrained positive matrix factorization
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 ...
Multispectral image deblurring
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 ...
Hierarchy control of hybrid power system
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 ...
Geometric scale-space framework for the analysis of hyperspectral imagery
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 ...