Inhalt des Dokuments
- © RSiM
Remote Sensing Image Analysis (RSiM) Group @ TU
Berlin started in April, 2018. RSiM group performs research in the
fields of processing and analysis of remote sensing images acquired by
satellite systems for Earth observation with interdisciplinary
approaches associated to remote sensing, machine learning,
signal&image processing and big data management.
Conference on Big Data and Machine Learning in Geosciences
- © BGR
January 24, 2020
The Federal Institute for Geosciences and Natural Resources (BGR), with the support of the German Federal Ministry of Economic Affairs and Energy (BMWi), organizes the International Conference on Big Data and Machine Learning in Geosciences that will be held on February 20-21, 2020 in Berlin. Prof. Demir is an invited speaker and will give a talk on ‘Deep Earth Query: Information Discovery from Big Earth Observation Data Archives’. Further information is available here .
The Trillion Pixel GeoAI Challenge Workshop at Oak Ridge National Laboratory
- © ORNL
October 08, 2019
Prof. Demir was a panelist at the GeoAI workshop to discuss barriers, opportunities, and the way forward in exploiting high-resolution planetary imagery for greater societal impact. The highlight of this event was the presentations and discussions on societal AI challenges by experts from image science, computer vision, machine learning, high performance computing. Further information is available here .
Editorial Board Membership for the MDPI Remote Sensing Journal
- © MDPI
July 12, 2019
Prof. Dr. Demir has been appointed as a member of the editorial board of "Remote Sensing Image Processing" section for the MDPI Remote Sensing  journal.
A New Project Funded by the German Research Foundation
- © RSiM
July 08, 2019
RSiM got a new project ‘IDEAL-VGI - Information Discovery from Big Earth Observation Data Archives by Learning from Volunteered Geographic Information’, which will be funded by the German Research Foundation for the period Oct. 2019-Oct. 2022. IDEAL-VGI is supported under the Priority Programme “Volunteered Geographic Information: Interpretation, Visualisation and Social Computing” [SPP 1894]).
BigEarthNet: A New Sentinel-2 Benchmark Archive
- © RSiM
March 15, 2019
We have made public our BigEarthNet  archive that is significantly larger than the existing archives in remote sensing and opens up promising directions to advance research for the analysis of large-scale remote sensing image archives.
Editorial Board Membership for IEEE GRSL
- © GRSS/IEEE
November 5, 2018
Prof. Dr. Demir has been appointed as an Associate Editor for the IEEE Geoscience and Remote Sensing Letters.
2018 Early Career Award for Prof. Demir
- © RSiM
July 27, 2018
Prof. Dr. Demir is the recipient of the
prestigious “2018 Early Career Award” presented by the IEEE
Geoscience and Remote Sensing Society (GRSS). IEEE GRSS founded
in 1962 is the most important international scientific society in the
field of geosciences and remote sensing. Factors considered for
assigning the award are: quality, the significance and impact of
contributions, papers published in archival journals, papers presented
at conferences and symposia, a demonstration of leadership, and
advancement of the profession.
New Starting at TU Berlin
- © TU Berlin/PR/Christian Kielmann
April 13, 2018
The President, Prof. Dr. Thomsen welcomed all newly appointed professors at TU Berlin.
More information can be found at TUB-Pressestelle .
ERC Funded BigEarth Project Has Officially Started at TU Berlin
- © RSiM/Demir
April 1, 2018
Prof. Dr. Begüm Demir moved with her BigEarth project from Italy to the TU Berlin. BigEarth is a research project funded by the European Research Council (ERC) Starting Grant, and it aims to develop a scalable and accurate Earth Observation (EO) image search and retrieval system for an accurate and fast discovery of crucial information for observing Earth from Big EO Archives.
For more details: www.tu-berlin.de 
BigEarth project: bigearth.eu/index.html 
AdministrationMinh Tai Le
Room E-N 628
Phone +49 30 314 21418
sekr 'at' rsim.tu-berlin.de 
Monday to Friday
10:00 - 12:00
AddressTechnische Universität Berlin
Remote Sensing Image Analysis (RSiM) Group
sec. EN 5, 6th floor