Welcome to the MGHPCC Virtual Booth

MGHPCC

/ University of Maine Collaboration

Hyperspectral Workflow

Join us to hear about how we're using a hyperspectral image processing pipeline to handle 100 Tb of data collected by an Unmanned Aerial Vehicle (UAV) in order to produce more useful maps.

(Booth Talk from SC20)
Incorporating a hyperspectral image processing pipeline into our current cyberinfrastructure and getting it to function for 100 Tb of hyperspectral data collected by an Unmanned Aerial Vehicle (UAV) by Headwall, for the purpose of correcting radiometric signals found in data in order to produce more useful maps. In addition, high performance computing (HPC) is used to greatly improve the speed that the raw sensor data can be turned into useful maps. Furthermore, processing the pipeline occurs on the Advanced Computing Group (ACG) server cluster and the programming language that is used to incorporate the hyperspectral image processing pipeline is python.

Tolu Oyeniyi
Student, University of Maine Northeast Cyberteam

Consortium

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