Publications

Welcome to our blog. Browse and filter through all our posts using the options below.

43 to 48 of 67

08JUL 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 […]
Read more about M3OCCA PhD candidates visited DLR in Oberpfaffenhofen
08JUL 2023
Allgemein
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 […]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 […]
Read more about Caffe – A Benchmark Dataset for Glacier Calving Front Extraction from Synthetic Aperture Radar Imagery
08JUL 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 […]
Read more about Conditional Random Fields for Improving Deep Learning-Based Glacier Calving Front Delineations
05JUL 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 […]
Read more about Invited talk by Susanne Støle-Hentschel 31.07.2023
27JUN 2023
Event
M³OCCA PhD students participate in field campaign on the Jungfraufirn in Switzerland
In March 2023 two of our M³OCCA PhD students, Lena Krabbe from LHFT/ FAU Erlangen and Akash Patil from BAdW Munich, joined a three-week field test campaign taking place at the Jungfraufirn on the Aletsch glacier in Switzerland. Therein, they were able to collect multiple data sets from different Ground Penetrating Radar (GPR) systems, namely […]
Read more about M³OCCA PhD students participate in field campaign on the Jungfraufirn in Switzerland
13JUN 2023
Event
Guest Talk about “Abstract Glaciers” by Jürgen Merz
In addition to our bi-weekly M3OCCA seminar lectures, we invited Jürgen Merz to present his “Glacier project”. He is a photographer specializing in abstract art. Within his “Glacier project”, he documented the fragile beauty and changes of alpine glaciers. More information: https://www.abstract-landscape.com/
Read more about Guest Talk about “Abstract Glaciers” by Jürgen Merz