Marlon Nuske

According to our database, Marlon Nuske authored at least 13 papers between 2023 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Common Practices and Taxonomy in Deep Multiview Fusion for Remote Sensing Applications.

Francisco Alejandro Mena, Diego Arenas, Marlon Nuske, Andreas Dengel

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

Impact Assessment of Missing Data in Model Predictions for Earth Observation Applications.

Francisco Alejandro Mena, Diego Arenas, Marcela Charfuelan, Marlon Nuske, Andreas Dengel

CoRR, 2024

Adaptive Fusion of Multi-view Remote Sensing data for Optimal Sub-field Crop Yield Prediction.

Francisco Alejandro Mena, Deepak Pathak, Hiba Najjar, Cristhian Sanchez, Patrick Helber, Benjamin Bischke, Peter Habelitz, Miro Miranda, Jayanth Siddamsetty, Marlon Nuske, Marcela Charfuelan, Diego Arenas, Michaela Vollmer, Andreas Dengel

CoRR, 2024

2023

Q-Seg: Quantum Annealing-based Unsupervised Image Segmentation.

Supreeth Mysore Venkatesh, Antonio Macaluso, Marlon Nuske, Matthias Klusch, Andreas Dengel

CoRR, 2023

On the Importance of Feature Representation for Flood Mapping using Classical Machine Learning Approaches.

Kevin Iselborn, Marco Stricker, Takashi Miyamoto, Marlon Nuske, Andreas Dengel

CoRR, 2023

Common Practices and Taxonomy in Deep Multi-view Fusion for Remote Sensing Applications.

Francisco Alejandro Mena, Diego Arenas, Marlon Nuske, Andreas Dengel

CoRR, 2023

Fusing Digital Elevation Maps with Satellite Imagery for Flood Mapping.

Marco Stricker, Takashi Miyamoto, Kevin Iselborn, Marlon Nuske, Andreas Dengel

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Influence of Data Cleaning Techniques on Sub-Field Yield Predictions.

Cristhian Sanchez, Deepak Pathak, Miro Miranda, Marcela Charfuelan, Patrick Helber, Marlon Nuske, Benjamin Bischke, Peter Habelitz, Nafisur Rahman, Francisco Alejandro Mena, Hiba Najjar, Jayanth Siddamsetty, Diego Arenas, Michaela Vollmer, Andreas Dengel

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Predicting Crop Yield with Machine Learning: An Extensive Analysis of Input Modalities and Models on a Field and Sub-Field Level.

Deepak Pathak, Miro Miranda, Francisco Alejandro Mena, Cristhian Sanchez, Patrick Helber, Benjamin Bischke, Peter Habelitz, Hiba Najjar, Jayanth Siddamsetty, Diego Arenas, Michaela Vollmer, Marcela Charfuelan, Marlon Nuske, Andreas Dengel

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Feature Attribution Methods for Multivariate Time-Series Explainability in Remote Sensing.

Hiba Najjar, Patrick Helber, Benjamin Bischke, Peter Habelitz, Cristhian Sanchez, Francisco Alejandro Mena, Miro Miranda, Deepak Pathak, Jayanth Siddamsetty, Diego Arenas, Michaela Vollmer, Marcela Charfuelan, Marlon Nuske, Andreas Dengel

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Effect Of Terrain Information On Multimodal Deep Learning For Flood Disaster Detection.

Takashi Miyamoto, Marco Stricker, Jun Ogishima, Kevin Iselborn, Marlon Nuske, Andreas Dengel

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

A Comparative Assessment of Multi-View Fusion Learning For Crop Classification.

Francisco Alejandro Mena, Diego Arenas, Marlon Nuske, Andreas Dengel

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Crop Yield Prediction: An Operational Approach to Crop Yield Modeling on Field and Subfield Level with Machine Learning Models.

Patrick Helber, Benjamin Bischke, Peter Habelitz, Cristhian Sanchez, Deepak Pathak, Miro Miranda, Hiba Najjar, Francisco Alejandro Mena, Jayanth Siddamsetty, Diego Arenas, Michaela Vollmer, Marcela Charfuelan, Marlon Nuske, Andreas Dengel

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023