AI4EO :: Publikationen

Publikationen

2024

Konferenzen

XAI-Guided Enhancement of Vegetation Indices for Crop Mapping

H. Najjar, F. Mena, M. Nuske, A. Dengel

2024 IEEE International Geosciences and Remote Sensing Symposium (IGARSS)

Article Pre-print
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)

Article Pre-print GitHub
Assessment of Sentinel-2 spatial and temporal coverage based on the scene classification layer

C. Sanchez, F. Mena, M. Charfuelan, M. Nuske, A. Dengel

2024 IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

Article Pre-print
Qubit-Efficient Variational Quantum Algorithms for Image Segmentation

S. M. Venkatesh, A. Macaluso, M. Nuske, M. Klusch and A. Dengel

2024 IEEE International Conference on Quantum Computing and Engineering (QCE)

Article Pre-print GitHub
Quantum Annealing-Based Algorithm for Efficient Coalition Formation Among LEO Satellites

S. M. Venkatesh, A. Macaluso, M. Nuske, M. Klusch and A. Dengel

2024 IEEE International Conference on Quantum Computing and Engineering (QCE)

Article Pre-print GitHub

Veröffentlichungen

Explainability of Sub-Field Level Crop Yield Prediction using Remote Sensing

H. Najjar, M. Miranda, M. Nuske, R. Roscher, A. Dengel

Pre-print
Qubit-efficient Variational Quantum Algorithms for Image Segmentation

S. Venkatesh, A. Macaluso, M. Nuske, M. Klusch, A. Dengel

Pre-print
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 GitHub
Q-Seg: Quantum Annealing-Based Unsupervised Image Segmentation

S. M. Venkatesh, A. Macaluso, M. Nuske, M. Klusch and A. Dengel

IEEE Computer Graphics and Applications

Article Pre-print GitHub

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-Modal 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

Article 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

Publikationen

2024

Konferenzen

XAI-Guided Enhancement of Vegetation Indices for Crop Mapping

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

Assessment of Sentinel-2 spatial and temporal coverage based on the scene classification layer

Qubit-Efficient Variational Quantum Algorithms for Image Segmentation

Quantum Annealing-Based Algorithm for Efficient Coalition Formation Among LEO Satellites

Veröffentlichungen

Explainability of Sub-Field Level Crop Yield Prediction using Remote Sensing

Qubit-efficient Variational Quantum Algorithms for Image Segmentation

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

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

Q-Seg: Quantum Annealing-Based Unsupervised Image Segmentation

2023

Konferenzen

Inter-region Transfer Learning for Land Use Land Cover Classification

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

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

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

Influence of Data Cleaning Techniques on Sub-Field Yield Predictions

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

Fusing Digital Elevation Maps with Satellite Imagery for Flood Mapping

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

Controlled Multi-modal Image Generation for Plant Growth Modeling

Veröffentlichungen

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

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