Marlon Nuske

Publication Activity (10 Years)

Years Active: 2023-2024
Publications (10 Years): 19

Top Topics

Machine Learning

Image Segmentation

Top Venues

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

Publications

Francisco 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
Adaptive Fusion of Multi-view Remote Sensing data for Optimal Sub-field Crop Yield Prediction. CoRR (2024)
Supreeth Mysore Venkatesh, Antonio Macaluso, Marlon Nuske, Matthias Klusch, Andreas Dengel
Qubit-efficient Variational Quantum Algorithms for Image Segmentation. CoRR (2024)
Hiba Najjar, Miro Miranda, Marlon Nuske, Ribana Roscher, Andreas Dengel
Explainability of Sub-Field Level Crop Yield Prediction using Remote Sensing. CoRR (2024)
Hiba Najjar, Francisco Alejandro Mena, Marlon Nuske, Andreas Dengel
XAI-Guided Enhancement of Vegetation Indices for Crop Mapping. CoRR (2024)
Francisco Alejandro Mena, Diego Arenas, Marlon Nuske, Andreas Dengel
Common Practices and Taxonomy in Deep Multiview Fusion for Remote Sensing Applications. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17 (2024)
Cristhian Sanchez, Francisco Alejandro Mena, Marcela Charfuelan, Marlon Nuske, Andreas Dengel
Assessment of Sentinel-2 spatial and temporal coverage based on the scene classification layer. CoRR (2024)
Francisco Alejandro Mena, Diego Arenas, Marcela Charfuelan, Marlon Nuske, Andreas Dengel
Impact Assessment of Missing Data in Model Predictions for Earth Observation Applications. CoRR (2024)
Hiba Najjar, Patrick Helber, Benjamin Bischke, Peter Habelitz, Cristhian Sanchez, Francisco Mena, Miro Miranda, Deepak Pathak, Jayanth Siddamsetty, Diego Arenas, Michaela Vollmer, Marcela Charfuelan, Marlon Nuske, Andreas Dengel
Feature Attribution Methods for Multivariate Time-Series Explainability in Remote Sensing. IGARSS (2023)
Kevin Iselborn, Marco Stricker, Takashi Miyamoto, Marlon Nuske, Andreas Dengel
On the Importance of Feature Representation for Flood Mapping using Classical Machine Learning Approaches. CoRR (2023)
Deepak Pathak, Miro Miranda, Francisco Mena, Cristhian Sanchez, Patrick Helber, Benjamin Bischke, Peter Habelitz, Hiba Najjar, Jayanth Siddamsetty, Diego Arenas, Michaela Vollmer, Marcela Charfuelan, Marlon Nuske, Andreas Dengel
Predicting Crop Yield With Machine Learning: An Extensive Analysis Of Input Modalities And Models On a Field and sub-field Level. CoRR (2023)
Francisco Mena, Diego Arenas, Marlon Nuske, Andreas Dengel
A Comparative Assessment of Multi-View Fusion Learning For Crop Classification. IGARSS (2023)
Cristhian Sanchez, Deepak Pathak, Miro Miranda, Marcela Charfuelan, Patrick Helber, Marlon Nuske, Benjamin Bischke, Peter Habelitz, Nafisur Rahman, Francisco Mena, Hiba Najjar, Jayanth Siddamsetty, Diego Arenas, Michaela Vollmer, Andreas Dengel
Influence of Data Cleaning Techniques on Sub-Field Yield Predictions. IGARSS (2023)
Francisco Mena, Diego Arenas, Marlon Nuske, Andreas Dengel
A Comparative Assessment of Multi-view fusion learning for Crop Classification. CoRR (2023)
Takashi Miyamoto, Marco Stricker, Jun Ogishima, Kevin Iselborn, Marlon Nuske, Andreas Dengel
Effect Of Terrain Information On Multimodal Deep Learning For Flood Disaster Detection. IGARSS (2023)
Deepak Pathak, Miro Miranda, Francisco Mena, Cristhian Sanchez, Patrick Helber, Benjamin Bischke, Peter Habelitz, Hiba Najjar, Jayanth Siddamsetty, Diego Arenas, Michaela Vollmer, Marcela Charfuelan, Marlon Nuske, Andreas Dengel
Predicting Crop Yield with Machine Learning: An Extensive Analysis of Input Modalities and Models on a Field and Sub-Field Level. IGARSS (2023)
Supreeth Mysore Venkatesh, Antonio Macaluso, Marlon Nuske, Matthias Klusch, Andreas Dengel
Q-Seg: Quantum Annealing-based Unsupervised Image Segmentation. CoRR (2023)
Marco Stricker, Takashi Miyamoto, Kevin Iselborn, Marlon Nuske, Andreas Dengel
Fusing Digital Elevation Maps with Satellite Imagery for Flood Mapping. IGARSS (2023)
Francisco Mena, Diego Arenas, Marlon Nuske, Andreas Dengel
Common Practices and Taxonomy in Deep Multi-view Fusion for Remote Sensing Applications. CoRR (2023)
Patrick Helber, Benjamin Bischke, Peter Habelitz, Cristhian Sanchez, Deepak Pathak, Miro Miranda, Hiba Najjar, Francisco Mena, Jayanth Siddamsetty, Diego Arenas, Michaela Vollmer, Marcela Charfuelan, Marlon Nuske, Andreas Dengel
Crop Yield Prediction: An Operational Approach to Crop Yield Modeling on Field and Subfield Level with Machine Learning Models. IGARSS (2023)