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25.03.2019

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Forschungszentrum Jülich GmbH
Wilhelm-Johnen-Straße
52425 Jülich

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Jülich

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Gabriele Cavallaro
Jülich Supercomputing Centre (JSC)
02461 61-3858

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As a member of the Helmholtz Association, Forschungszentrum Jülich makes an effective contribution to solving major challenges facing society in the fields of information, energy, and bioeconomy.

Master Thesis: Deep Learning for Satellite Image Super-Resolution

25.02.2019
Forschungszentrum Jülich - Jülich
Informatik

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Project Description:
The goal of the project is to design a deep network for the fusion of disjoint reflectance bands that have different spatial resolution and have been acquired by the same sensor. The considered data are the one acquired by the Sentinel-2 mission [1], which includes a constellation of two satellites that collect multispectral bands of 10m, 20m and 60m spatial resolution for visible, near infrared (NIR) and shortwave infrared (SWIR). The network will be developed for fusing the whole bands to obtain finer spatial resolution versions of the coarse bands.

Qualifikation

Your Profile:
- Master’s student in Computer Science or Electrical/Computer Engineering
- Medium knowledge of Machine Learning and Deep Learning
- Medium/advanced knowledge of Python
- English proficiency is expected

See the whole job ad at the homepage of Forschungszentrum Jülich.

Benefits

We offer:
Financial support is provided by JSC for the duration of the thesis (i.e., 6 months with the possibility of extension to 9 months).

Contacts:
Please forward your application to both contacts.
Dr. Gabriele Cavallaro
Jülich Supercomputing Centre (JSC)
Forschungszentrum Jülich GmbH
Phone: +49 2461 61-3858

Dr. Jenia Jitsev
Jülich Supercomputing Centre (JSC)
Forschungszentrum Jülich GmbH
Phone: +49 2461 61-9727

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