Detection of Flooding Events in Social Multimedia and Satellite Imagery using Deep Neural Networks. - Benjamin Bischke; Prakriti Bhardwaj; Aman Gautam; Patrick Helber; Damian Borth; Andreas Dengel 001 (MediaEval, 2017)

The Multimedia Satellite Task at MediaEval 2017. - Benjamin Bischke; Patrick Helber; Christian Schulze 001; Venkat Srinivasan; Andreas Dengel 001; Damian Borth (MediaEval, 2017)

Overcoming Missing and Incomplete Modalities with Generative Adversarial Networks for Building Footprint Segmentation. - Benjamin Bischke; Patrick Helber; Florian Koenig; Damian Borth; Andreas Dengel 001 (CBMI, 2018)

Segmentation of Imbalanced Classes in Satellite Imagery using Adaptive Uncertainty Weighted Class Loss. - Benjamin Bischke; Patrick Helber; Damian Borth; Andreas Dengel 001 (IGARSS, 2018)

Introducing Eurosat: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification. - Patrick Helber; Benjamin Bischke; Andreas Dengel 001; Damian Borth (IGARSS, 2018)

Global-Local Feature Fusion for Image Classification of Flood Affected Roads from Social Multimedia. - Benjamin Bischke; Patrick Helber; Andreas Dengel 001 (MediaEval, 2018)

The Multimedia Satellite Task at MediaEval 2018. - Benjamin Bischke; Patrick Helber; Zhengyu Zhao 001; Jens de Bruijn; Damian Borth (MediaEval, 2018)

Generating Material Maps to Map Informal Settlements. - Patrick Helber; Bradley Gram-Hansen; Indhu Varatharajan; Faiza Azam; Alejandro Coca-Castro; Veronika Kopacková; Piotr Bilinski (CoRR, 2018)

Mapping Informal Settlements in Developing Countries with Multi-resolution, Multi-spectral Data. - Patrick Helber; Bradley Gram-Hansen; Indhu Varatharajan; Faiza Azam; Alejandro Coca-Castro; Veronika Kopacková; Piotr Bilinski (CoRR, 2018)

EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification. - Patrick Helber; Benjamin Bischke; Andreas Dengel 001; Damian Borth (Zenodo, 2018)

EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification. - Patrick Helber; Benjamin Bischke; Andreas Dengel 001; Damian Borth (Zenodo, 2018)

Mapping Informal Settlements in Developing Countries using Machine Learning and Low Resolution Multi-spectral Data. - Bradley J. Gram-Hansen; Patrick Helber; Indhu Varatharajan; Faiza Azam; Alejandro Coca-Castro; Veronika Kopacková; Piotr Bilinski (AIES, 2019)

Multi-Task Learning for Segmentation of Building Footprints with Deep Neural Networks. - Benjamin Bischke; Patrick Helber; Joachim Folz; Damian Borth; Andreas Dengel 001 (ICIP, 2019)

Location-Specific Embedding Learning for the Semantic Segmentation of Building Footprints on a Global Scale. - Benjamin Bischke; Patrick Helber; Jörn Hees; Andreas Dengel 001 (IGARSS, 2019)

Multi-Scale Machine Learning for the Classification of Building Property Values. - Patrick Helber; Benjamin Bischke; Qiushi Guo; Jörn Hees; Andreas Dengel 001 (IGARSS, 2019)

Towards a Sentinel-2 Based Human Settlement Layer. - Patrick Helber; Benjamin Bischke; Jörn Hees; Andreas Dengel 001 (IGARSS, 2019)

Flood Severity Estimation from Online News Images and Multi-Temporal Satellite Images Using Deep Neural Networks. - Benjamin Bischke; Simon Brugman; Patrick Helber (MediaEval, 2019)

The Multimedia Satellite Task at MediaEval 2019. - Benjamin Bischke; Patrick Helber; Simon Brugman; Erkan Basar; Zhengyu Zhao 001; Martha A. Larson; Konstantin Pogorelov (MediaEval, 2019)

EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification. - Patrick Helber; Benjamin Bischke; Andreas Dengel 001; Damian Borth (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019)

RapidAI4EO: A Corpus for Higher Spatial and Temporal Reasoning. - Giovanni Marchisio; Patrick Helber; Benjamin Bischke; Timothy Davis; Çaglar Senaras; Daniele Zanaga; Ruben Van De Kerchove; Annett Wania (IGARSS, 2021)

Machine Learning for Satellite Image Analysis - A Spatial Mapping of Urban Areas. - Patrick Helber (Dr. Hut, 2021)

Rapidai4Eo: Mono-and Multi-Temporal Deep Learning Models for Updating the Corine land Cover Product. - Priyash Bhugra; Benjamin Bischke; Christoph Werner 002; Robert Syrnicki; Carolin Packbier; Patrick Helber; Çaglar Senaras; Akhil Singh Rana; Tim Davis 001; Wanda De Keersmaecker; Daniele Zanaga; Annett Wania; et al. (IGARSS, 2022)

TreeSatAI Benchmark Archive for Deep Learning in Forest Applications. - Christian Schulz 012; Steve Ahlswede; Christiano Gava; Patrick Helber; Benjamin Bischke; Florencia Arias; Michael Förster; Jörn Hees; Begüm Demir; Birgit Kleinschmit (Zenodo, 2022)

TreeSatAI Benchmark Archive for Deep Learning in Forest Applications. - Christian Schulz 012; Steve Ahlswede; Christiano Gava; Patrick Helber; Benjamin Bischke; Florencia Arias; Michael Förster; Jörn Hees; Begüm Demir; Birgit Kleinschmit (Zenodo, 2022)

TreeSatAI Benchmark Archive for Deep Learning in Forest Applications. - Christian Schulz 012; Steve Ahlswede; Christiano Gava; Patrick Helber; Benjamin Bischke; Florencia Arias; Michael Förster; Jörn Hees; Begüm Demir; Birgit Kleinschmit (Zenodo, 2022)

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; et al. (IGARSS, 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; et al. (IGARSS, 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; et al. (IGARSS, 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; et al. (IGARSS, 2023)

An Operational Approach to Large-Scale Crop Yield Prediction with Spatio-Temporal Machine Learning Models. - Patrick Helber; Benjamin Bischke; Carolin Packbier; Peter Habelitz; Florian Seefeldt (IGARSS, 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; et al. (CoRR, 2024)