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Master theses

Current and past ideas and concepts for Master Theses.

Machine learning algorithms for land cover classification using satellite images

Subject

Investigate state-of-the-art machine learning algorithms (CNN, Canonical Correlation Forest) for detailed classification of land surface using satellite images from EC Copernicus program (HYPERION, Sentinel 1 & 2).

Kind of work

Data compilation, preparation. Ground truth gathering (training will be provided). Algorithm development. Quantitative analysis.

Number of Students

2

Expected Student Profile

Image processing and coding experience in Python preferable.
Additional training will be provided for prospective students who do not have any remote sensing background.
Interested students please contact me first.

Promotor

Prof. Dr. Jonathan C-W Chan

+32 (0)2 629 1280

jcheungw@etrovub.be

more info

Supervisors

Ms. Chen Yi

+32 (0)2 629 3942

cyi@etrovub.be

more info

Mr. Wenbo Li

+32 (0)2 629 2930

wlia@etrovub.be

more info

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