Inhalt des Dokuments
BIMoS Days
Each BIMoS Day is devoted to introducing a broad scientific audience to a novel methodology with a wide range of applications.
BIMoS events have been pausing since March 2020 due the Covid 19 pandemic and other major organizational developments. They will continue in a virtual format starting in February 2021.
Winter term 2020/2021
BIMoS Day "Variational Models for Microstructures in Smart Materials"
by Prof. Dr. Barbara Zwicknagl (TU Berlin)
February 8, 2021 (16:00 - 17:30)
über https://tu-berlin.zoom.us/j/66161737476?pwd=YUFxdkdCeHRxVTd6bXdsMzQydWsvQT09
BIMoS Day "Title to be announced later"
by Prof. Dr. Abdulla Ghani (TU Berlin)
February 15, 2021 (16:00 - 17:30)
über https://tu-berlin.zoom.us/j/66161737476?pwd=YUFxdkdCeHRxVTd6bXdsMzQydWsvQT09
BIMoS Day "Title to be announced later"
by Prof. Dr. Tobias Breiten (TU Berlin)
February 22, 2021 (16:00 - 17:30)
über https://tu-berlin.zoom.us/j/66161737476?pwd=YUFxdkdCeHRxVTd6bXdsMzQydWsvQT09
Winter term 2019/2020
BIMoS Day "Measuring and modelling the porous structure of soils"
by Prof. Dr. Hans-Jörg Vogel (Helmholtz Centre for Environmental Research - UFZ)
December 10, 2019 (16:15 - 18:00)
H 3005, TU Berlin Main Building, Straße des 17. Juni 135, 10623 Berlin
BIMoS Day "Modelling and simulation of non-equilibrium phenomena in colloidal systems"
by Prof. Dr. Sabine Klapp (TU Berlin)
January 20, 2020 (16:15 - 18:00)
H 3005, TU Berlin Main Building, Straße des 17. Juni 135, 10623 Berlin
Program
16:15 - 18:00 incl. coffee break
BIMoS Day "Accurate and Scalable Processing of Big Data in Earth Observation"
by Prof. Dr. Begüm Demir (TU Berlin)
February 10, 2020 (16:15 - 18:00)
H 3005, TU Berlin Main Building, Straße des 17. Juni 135, 10623 Berlin
Program
16:15 - 18:00 incl. coffee break
Earth observation (EO) data archives are significantly growing as a result of advances in satellite systems. As an example, remote sensing (RS) images acquired by ESA’s Sentinel satellites (which are a part of EU’s Copernicus program) reach the scale of more than 10 TB per day. The “big EO data” is a great source for information discovery and extraction for monitoring Earth from above. Thus, accurate and scalable techniques for RS image understanding, search and retrieval have recently emerged.
In this talk, a general overview on scientific and practical problems related to RS image characterization, indexing and search from massive archives will be initially discussed. Then, our recent developments that can overcome these problems will be presented.
A particular attention will be given to the metric learning and the graph structure driven deep hashing networks for scalable and accurate content-based indexing and retrieval of RS images.
Finally, BigEarthNet that is a new large-scale Sentinel-2 multispectral benchmark archive introduced to advance deep learning studies in RS will be presented.
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BIMoS Office
Technische Universität BerlinBerlin International Graduate School for Model and Simulation based Research (BIMoS)
ER 3-2
Room ER 236
Hardenbergstraße 36a
10623 Berlin
+49 30 314 73620
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