Deep Learning for Remote Sensing
The rights of the image belong to Dr. Felix M. Riese.
Publications
Deep Learning for Land Cover Change Detection
Land cover and its change are crucial for many environmental applications. This study focuses on the land cover classification and …
Development and Applications of Machine Learning Methods for Hyperspectral Data
Hyperspectral remote sensing of the Earth relies on data from passive optical sensors that are mounted on platforms such as satellites …
KI im Dienst der Nachhaltigkeit: Trinkwasser für Peru, Precision Farming in Australien
Trinkwasser und Nahrung – diese Grundbedürfnisse des Menschen sind in weiten Teilen der Welt keine Selbstverständlichkeit. Künstliche …
Examples for CNN training and classification on Sentinel-2 data
Overview about state-of-the-art land-use classification from satellite data with CNNs based on an open dataset.
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.
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.
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.
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. …
