News

On June 10, 2024, Sugandha Doda defended her thesis entitled Population Estimation Utilizing Earth Observation Data [weiterlesen]

On June 6, 2024, Konrad Heidler defended his thesis entitled Interpretation of Structures in Polar Regions with Deep Learning Methods [weiterlesen]

Date: July 15-16, 2024 Location: TUM Campus Ottobrunn, Lise-Meitner-Str.9, 85521 Ottobrunn [weiterlesen]

Wir suchen für unser Team ab sofort, in Vollzeit, eine/n Akademischen Rat a. Z. (m/w/d) [weiterlesen]

On January 18, 2024, Kun Qian defended his thesis entitled Deep Learning in Synthetic Aperture Radar Tomographic Inversion [weiterlesen]

We are looking for a Science Manager for the Future Lab on Artificial Intelligence in Earth Observation [weiterlesen]

Our Project "EKAPEx Energy-efficient AI for Extreme Weather Events Forecasting" has been funded by the AI-Lighthouse Program of the Zukunft – Umwelt – Gesellschaft (ZUG) gGmbH. The project goal is AI-based precipitation forecast for Germany with a particular focus on extreme weather events. In this… [weiterlesen]

Deep TL4RS proposes to develop a systematic, complete remote sensing transfer learning framework with the full consideration of the characteristics of RS imagery. This will be achieved by developing several sophisticated transfer learning algorithms that address fundamental challenges of… [weiterlesen]

We are super excited to share that Prof. Zhu belongs to the World's most frequently cited scientists. Click here is the official TUM press release. Highly Cited Researchers have demonstrated significant and broad influence, reflected in their publication of multiple highly cited papers over the… [weiterlesen]

On Nov 10, 2022, Qingyu Li defended her thesis entitled Deep Learning for Building Footprint Generation from Optical Imagery, supervised by Prof. Dr. Xiaoxiang Zhu. The defense committee was chaired by Prof. Dr.-Ing. Liqiu Meng, and the examiners were Prof. Dr.-Ing. Xiaoxiang Zhu, Prof. Dr.-Ing.… [weiterlesen]