Publikationen

2024

Konferenzen

• 

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

  F. Mena, D. Arenas, M. Charfuelan, M. Nuske, A. Dengel

  2024 IEEE International Geosciences and Remote Sensing Symposium (IGARSS)

  Pre-print

Veröffentlichungen

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

  F. Mena, D. Arenas, M. Nuske, A. Dengel

  IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS)

  Article Pre-print
• 

  In the Search for Optimal Multi-View Learning Models for Crop Classification with Global Remote Sensing Data

  F. Mena, D. Arenas, M. Nuske, A. Dengel

  Pre-print

2023

Konferenzen

• 

  Inter-region Transfer Learning for Land Use Land Cover Classification

  J. Siddamsetty, M. Stricker, M. Charfuelan, M. Nuske, A. Dengel

  ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences

  Article
• 

  A Comparative Assessement of Multi-View Fusion Learning for Crop Classification

  F. Mena, D. Arenas, M. Nuske, A. Dengel

  2023 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

  Article Pre-print GitHub
• 

  Crop Yield Prediction: an Operational Approach to Crop Yield Modeling on Field and Sub-Field Level with Machine Learning Models

  P. Helber, B. Bischke, P. Habelitz, C. Sanchez, D. Pathak, M. Miranda, H. Najjar, F. Mena, J. Siddamsetty, D. Arenas, M. Vollmer, M. Charfuelan, M. Nuske, A. Dengel

  2023 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

  Article
• 

  Predicting Crop Yield with Machine Learning: an extensive Analysis of Input Modalities and Models on a Field and Sub-Field Level

  D. Pathak, M. Miranda, F. Mena, C. Sanchez, P. Helber, B. Bischke, P. Habelitz, H. Najjar, J. Siddamsetty, D. Arenas, M. Vollmer, M. Charfuelan, M. Nuske, A. Dengel

  2023 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

  Article Pre-print
• 

  Influence of Data Cleaning Techniques on Sub-Field Yield Predictions

  C. Sanchez, D. Pathak, M. Miranda, M. Charfuelan, P. Helber, M. Nuske, B. Bischke, P. Habelitz, N. Rahman, F. Mena, H. Najjar, J. Siddamsetty, D. Arenas, M. Vollmer, A. Dengel

  2023 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

  Article
• 

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

  H. Najjar, P. Helber, B. Bischke, P. Habelitz, C. Sanchez, F. Mena, M. Miranda, D. Pathak, J. Siddamsetty, D. Arenas, M. Vollmer, M. Charfuelan, M. Nuske, A. Dengel

  2023 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

  Article
• 

  Fusing Digital Elevation Maps with Satellite Imagery for Flood Mapping

  M. Stricker, T. Miyamoto, K. Iselborn, M. Nuske, A. Dengel

  2023 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

  Article GitHub
• 

  Effect of Terrain Information on Multimodel Deep Learning for Flood Disaster Detection

  T. Miyamoto, M. Stricker, J. Ogishima, K. Iselborn, M. Nuske, A. Dengel

  2023 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

  Article
• 

  Controlled Multi-modal Image Generation for Plant Growth Modeling

  M. Miranda, L. Drees, R. Roscher

  2022 26th International Conference on Pattern Recognition (ICPR)

  Article

Veröffentlichungen

• 

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

  F. Mena, D. Pathak, H. Najjar, C. Sanchez, P. Helber, B. Bischke, P. Habelitz, M. Miranda, J. Siddamsetty, M. Nuske, M. Charfuelan, D. Arenas, M. Vollmer, A. Dengel

  Under Review

  Pre-print
• 

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

  K. Iselborn, M. Stricker, T. Miyamoto, M. Nuske, A. Dengel

  Under Review

  Pre-print GitHub