TU Berlin / Faculty of EECS / Remote Sensing Image Analysis Group

Welcome to RSiM
Remote Sensing Image Analysis Group


RSiM group led by Prof. Begüm Demir is part of the Faculty of EECS at the TU Berlin. Our group performs research in the field of processing and analysis of remote sensing images for Earth observation with interdisciplinary approaches associated to remote sensing, machine learning, signal & image processing and big data management.


  • Administration: Minh Tai Le
  • Einsteinufer 17, Sekr. EN5, Room EN 628
  • +49 30 314 21418
  • sekr 'at' rsim.tu-berlin.de
  • Office Hours: Tuesday and Thursday

Latest News

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  • 2023-05-09

Gencer Sumbul defended his PhD thesis

Gencer Sumbul successfully defended his PhD thesis titled “Deep Image Representation Learning for Knowledge Discovery from Earth Observation Data Archives” on May 9th and received the distinction 'summa cum laude'. Congratulations Gencer!

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  • 2023-05-01


We have recently released ConfigILM that is a pytorch based library, enabling fast development of visual question answering systems. This open-source library provides a convenient implementation for seamlessly combining models from two of the most popular pytorch libraries, timm and huggingface.

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  • 2023-01-11

Leonard Hackel won Rolf-Niedermeier-Award

Leonard Hackel was awarded the Rolf-Niedermeier-Award for the best master thesis in Computer Engineering of TU Berlin. In his thesis, he developed lightweight transformer-based visual question answering (VQA) models for Earth observation. For details, click here.

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  • 2022-12-05

TreeSatAI Benchmark Archive

Together with our partners within the TreeSatAI project funded by the Federal Ministry of Education and Research, we released the TreeSatAI benchmark archive that is a multi-sensor, multi-label dataset for tree species classification in remote sensing.

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  • 2022-09-10

    © ESA

New Project funded by European Space Agency

RSiM is involved in a new project 'Demonstrator Precursor Digital Assistant Interface For Digital Twin Earth' funded by the European Space Agency for the period 2022-2024. In this project, we will collaborate with the e-GEOS, Italy and the University of Athens in Greece.

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