Dr.-Ing. Danfeng Hong has been awarded the “Best Reviewer“ prize for 2020 by the journal “IEEE Transactions on Geoscience and Remote Sensing“. He was thus recognized for the number, quality and speed of his reviews. [mehr]

The paper Cloud removal in Sentinel-2 imagery using a deep residual neural network and SAR-optical data fusion, authored by Andrea Meraner, Patrick Ebel, Xiao Xiang Zhu, and Michael Schmitt, has been selected as the best paper published in 2020 (volumes 159-170) in the ISPRS... [mehr]

Remote sensing is entering a new era of time-series analysis. Short revisit times of satellites allow for monitoring of many areas across the globe on a weekly basis. However, there has been little exploration of deep learning techniques to leverage this new temporal dimension at... [mehr]

ESA has just opened the Living Planet Fellowship, whose main objective is “to support young scientists, at post-doctoral level, to undertake cutting-edge research in Earth Observation, Earth System Science or Climate Research, maximising the scientific return of ESA and European... [mehr]

The Technical University of Munich (TUM) is consolidating its relevant expertise at the recently founded Munich Data Science Institute (MDSI) in order to use advanced theory and multidisciplinary, data-driven research to facilitate quantum leaps in innovation with major... [mehr]

The article "KI-basierte Detektion von Gebäuden mittels Deep Learning und amtlichen Geodaten zur Baufallerkundung" (English: "AI-based detection of buildings using deep learning and official geodata for building case investigation") [paper], authored by Robert Roschlaub, Qingyu... [mehr]

We congratulate Jakob Gawlikowski for winning the first place in the GRSS Three Minute Thesis Comptetition with his work entitled 'Robust Machine Learning Based Data Fusion Methods', please see the details here. [mehr]

We are looking for a system with 16 GPUs and a large storage for deep learning. Interested companies please contact Dr.-Ing. Yuanyuan Wang (email: [mehr]

Lloyd Hughes has successfully defended his doctoral thesis: Deep Learning for Matching High-Resolution SAR and Optical Imagery. The image is Lloyd with the examination committee: Prof. Florence Tupin (Telecom Paris), Prof. Martin Werner, Prof. Xiaoxiang Zhu, PD Dr.-Ing habil.... [mehr]

We have selected a contractor in a tender procedure to assist us with the annotation of multi-temporal land cover classes for the generation of a benchmark dataset. Find the required announcement below: Selection Procedure: Verhandlungsvergabe mit Einholung von drei Angeboten... [mehr]