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Center for Subsurface Sensing and Imaging System (CENSSIS)

Hyperspectral Imaging (HSI) data contains high spectral resolution and spatial information of the object under study. HSI processing is based on the concept of imaging spectrometry where spectral and spatial information is used to identify or detect objects, or estimate parameters of interest. As the object of interest is embedded in a complex media (i.e. coastal waters or skin), the measured signature is a distorted version of the original object signature (e.g. a coral reef or a blood vessel) mixed with clutter. The main objective of this research work is the development of information extraction algorithms for HSI data by optimal integration of physical models with the available spatial and spectral information.
Contacts: Dr. José Colom, Dr. Sandra Cruz Pol, Dr. Shawn Hunt, Dr. Wilson Rivera, Dr. Rafael Rodríguez Solis, Dr. Raul Torres, Dr. Miguel Velez
More information: http://irise.uprm.edu
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