Month: July 2023

08/07/2023
Event

M3OCCA PhD candidates visited DLR in Oberpfaffenhofen

Members of the M3OCCA project visited the facilities of DLR in Oberpfaffenhofen on the 5th. July 2023.

During the visit, the project partners and M3OCCA members gave an overview of the activities at DLR including a guided tour of the Techlab.

Impressive was in particular the visit of the German Space Operations Centre (GSOC), where different space missions and the Columbus Module of the International Space Station are monitored and controlled.

08/07/2023
Allgemein Publications

Caffe – A Benchmark Dataset for Glacier Calving Front Extraction from Synthetic Aperture Radar Imagery

The study emphasizes the importance of understanding marine-terminating glacier dynamics in glacier projections. Deep learning methods can automate the extraction of calving front positions from satellite imagery, reducing manual effort. The “CaFFe” dataset, which includes annotated calving fronts in Synthetic Aperture Radar (SAR) imagery, offers a standardized benchmark for evaluating deep learning techniques in this area. Researchers can use CaFFe to assess the performance of upcoming deep learning models and identify promising research directions. A leaderboard of models can be found at https://paperswithcode.com/sota/calving-front-delineation-in-synthetic.

https://ieeexplore.ieee.org/abstract/document/10283406

08/07/2023
Publications

Conditional Random Fields for Improving Deep Learning-Based Glacier Calving Front Delineations

Advancements in Deep Learning have enabled the automated identification of glacier calving fronts in satellite imagery. This study improves the accuracy of this process by incorporating a Conditional Random Field (CRF) into the post-processing of the neural network’s predictions. Experiments using the CaFFe dataset showed a 27-meter improvement in mean distance error. The code is available at https://github.com/EntChanelt/GlacierCRF.

https://ieeexplore.ieee.org/document/10282915

05/07/2023
Event

Invited talk by Susanne Støle-Hentschel 31.07.2023

Title: How can we understand the dynamics of ocean waves from measurements and simulations?

The presentation introduces some of the core techniques used for measuring ocean waves and outlines why it is difficult to interpret those measurements.
The main focus of the talk will be dedicated to explaining the imaging mechanism of X-band radars. The talk will include a brief overview to freak waves in sea states where multiple wave systems meet.

Susanne is a PostDoc in the ERC project HIGHWAVE at Ecole Normale Supérieure (ENS) Paris-Saclay. She has achieved her Master’s and PhD at the University of Oslo, Norway. With a background in applied maths and fluid mechanics, Susanne has worked with a number of different applications, ranging from biomedical flows to ocean waves. In recent years she has pursued the study of ocean waves by combining numerical simulations and measurements. One of her focus areas is the interpretation of radar measurements of the ocean surface. Extracting wave information from radar images requires combining signal processing and an understanding of the imaging mechanism.