Marco Körner

Deputy Head

Ludwig-Maximilians-Universität München

Germany

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About

Marco Körner is the Deputy Head at Technische Universität München, Germany. His research focuses on unsupervised domain adaptation in satellite image classification, hybrid modeling of the hydrological cycle, and advanced methodologies in crop type mapping. Recent articles include contributions to deep learning applications in environmental modeling and human settlement classification.

Articles (11)

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2025

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2025

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2024

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2023

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2022

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2022

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2020

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2020

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2020

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2020

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2020

Collaborators (3)

Kang Yu

Technical University of Munich

GERMANY

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Lloyd Hughes

EPFL (École Polytechnique Fédérale de Lausanne)

SWITZERLAND

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Michael Schmitt

Professor

Bundeswehr University Munich

GERMANY

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Marco Körner

Research Interests

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Articles (11)

Self-attention and frequency-augmentation for unsupervised domain adaptation in satellite image-based time series classification

H2MV (v1.0): global physically constrained deep learning water cycle model with vegetation

Approaching holistic crop type mapping in Europe through winter vegetation classification and the Hierarchical Crop and Agriculture Taxonomy

Hybrid modeling of evapotranspiration: inferring stomatal and aerodynamic resistances using combined physics-based and machine learning

Multitask Learning for Human Settlement Extent Regression and Local Climate Zone Classification

Towards hybrid modeling of the global hydrological cycle

BREIZHCROPS: A TIME SERIES DATASET FOR CROP TYPE MAPPING

HYBRID MODELING: FUSION OF A DEEP LEARNING APPROACH AND A PHYSICS-BASED MODEL FOR GLOBAL HYDROLOGICAL MODELING

LONG-SHORT SKIP CONNECTIONS IN DEEP NEURAL NETWORKS FOR DSM REFINEMENT

A generalized multi-task learning approach to stereo DSM filtering in urban areas

The Importance of Loss Functions for Increasing the Generalization Abilities of a Deep Learning-Based Next Frame Prediction Model for Traffic Scenes

Collaborators (3)

Kang Yu

Lloyd Hughes

Michael Schmitt

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