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There is now a CONTENT FREEZE for Mercury while we switch to a new platform. It began on Friday, March 10 at 6pm and will end on Wednesday, March 15 at noon. No new content can be created during this time, but all material in the system as of the beginning of the freeze will be migrated to the new platform, including users and groups. Functionally the new site is identical to the old one. webteam@gatech.edu
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Speaker: Adam Charles
Title:
Sparsity based techniques for hyperspectral image analysis
Abstract:
Hyperspectral imaging (HSI) has been an invaluable tool in remote sensing applications ranging from agricultural applications to oceanic and atmospheric studies, defense applications and space exploration. HSI takes highly detailed spatial and spectral measurements of terrestrial scenes, which can be used to remotely infer which materials are present and in what quantities. This procedure of extracting material abundances, when the pure material spectra is known, is referred to as spectral unmixing. This talk will cover how sparsity based techniques can be utilized in spectral unmixing to not only uncover the material abundances but to also extract the pure material spectra from example HSI data. Additionally, this talk will cover how recent algorithms in spatial filtering algorithms based on sparse statistics can further improve spectral unmixing.
Speaker Bio:
Adam Charles received his undergraduate and master's degree in electrical engineering from The Cooper Union for the Advancement of Science and Art. He is currently pursuing his doctorate at Georgia Tech under the guidance of Dr. Christopher Rozell in the area of signal processing, working on algorithmic development of sparsity based techniques and applications thereof.
