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


Publications
Talks
Hyperspectral Estimation Framework: Selected Applications of Machine Learning
Presentation at the Karlsruhe Institute of Technology (KIT) as status update of my current Ph.D. studies.
Feb 6, 2020 12:00 AM
Karlsruhe (DE)
Felix M. Riese
Podcast episode about 'Fernerkundung mit multispektralen Satellitenbildern'
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
Talk about the publication 'Soil Texture Classification with 1D Convolutional Neural Networks based on Hyperspectral Data'
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
Satellite Computer Vision mit Keras und Tensorflow - Best Practices und Beispiele aus der Forschung
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
Land Use Classification with Remote Sensing Data and Machine Learning in the Lima Region (Peru)
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
Satellite data is for everyone: insights into modern remote sensing research with open data and Python
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