Hypernet

Deep learning-based hyperspectral image analysis

HYPER-spectral image segmentation using deep neural NETworks

The aim of this project was to develop a state of the art techniques which allow us to effectively analyse HSI with the use of deep-learning technology. The project involves developing a state of the art techniques which allow us to effectively analyse HSI with the use of deep-learning technology: cutting-edge algorithms to pre-process, augment, visualize, and precisely segment HSI, with the ultimate objective of helping practitioners better utilize such data. 

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PROJECT INFORMATION

Partners

Future Processing and FPI Instruments

Duration

04.2018 - 04.2019

Financed by

European Space Agency

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