PAISS Artificial Intelligence Summer School 2021

Summary

Over the course of the week from the 5th to the 9th of July 2021, the PAISS PRAIRIE/MIA Artificial intelligence Summer School took place online. The slightly competitive application process included the submission of a reference letter.

Additionally to lecture sessions by experts in the fields of computer vision, machine learning, natural language processing, robotics and healthcare poster sessions took place as well as group discussions. While the topics were very theoretical and not really focussed on the EO/GI domain, it was very interesting to see the current state of the technology and developments in the field of computer science.

UBS

M.Sc. Thesis: Deep Super-Resolution of Sentinel-2 Time Series

The M.Sc. thesis was resarched, written and defended at the University of South Brittany in Vannes, France between Februrary and June 2022.

Simon Donike 2022-06-23

Deep Learning

Feature Extraction via Transfer Learning and using predefined Model Architectures for Palm Plantation Identification

Several predefined deep learning computer vision models, such as LeNet, ResNet18, VGG16 and AlexNet are used to identify palm oil plantations in satellite images. The models are both trained from scratch and used as a feature extractor via transfer learning on the pretrained models.

Simon Donike 2022-01-17

Computer Vision

Frequency Domain of Images – Fourier Transform and Filtering

Performing some Fourier Transformations and filtering operations on images.

Simon Donike 2021-12-04

PAISS Artificial Intelligence Summer School 2021

Summary

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