Deep Learning for Remote Sensing
Felix M. Riese
Dec 28, 2020

Publications
Land cover and its change are crucial for many environmental applications. This study focuses on the land cover classification and …
Oliver Sefrin, Felix M. Riese, Sina Keller
Overview about state-of-the-art land-use classification from satellite data with CNNs based on an open dataset.
Jens Leitloff, Felix M. Riese
Events
Presentation at the Karlsruhe Institute of Technology (KIT) as status update of my current Ph.D. studies.
Feb 6, 2020 00:00
Karlsruhe (DE)
Felix M. Riese
We were part of the German TechTiefen podcast with Nico Kreiling about multispectral satellite computer vision. We explain our attempt on sustainability research in regards to water quality and land use detection.
Jul 10, 2019
Karlsruhe (DE)
Jens Leitloff, Felix M. Riese
I have presented our publication ‘Soil Texture Classification with 1D Convolutional Neural Networks based on Hyperspectral Data’ at the ISPRS Geospatial Week in an oral talk.
Jun 10, 2019 — Jun 14, 2019
Enschede (NL)
Felix M. Riese
Im Forschungsfeld des Maschinellen Lernens werden zunehmend leicht zugängliche Framework wie Keras, Tensorflow oder Pytorch verwendet. …
May 15, 2019 — May 16, 2019
Mannheim (DE)
Jens Leitloff, Felix M. Riese
Poster presentation at the Tag der Hydrologie (Hydrology Day) at the Karlsruhe Institute of Technology (KIT).
Mar 28, 2019
Karlsruhe (DE)
Felix M. Riese, Sina Keller
The largest earth observation programme Copernicus (http://copernicus.eu) makes it possible to perform terrestrial observations …
Oct 24, 2018 — Oct 28, 2018
Karlsruhe (DE)
Jens Leitloff, Felix M. Riese