| 2025 | CVPR | Better Coherence, Better Height: Fusing Physical Models and Deep Learning for Forest Height Estimation from Interferometric SAR Data. | Ragini Bal Mahesh, Ronny Hnsch |
| 2025 | CVPR | Hybrid AI-Physical Modeling for Penetration Bias Correction in X-band InSAR DEMs: A Greenland Case Study. | Islam Mansour, Georg Fischer, Ronny Hnsch, Irena Hajnsek |
| 2024 | CVPR | Let me show you how it's done - Cross-modal knowledge distillation as pretext task for semantic segmentation. | Rudhishna Narayanan Nair, Ronny Hnsch |
| 2024 | IGARSS | On Perturbation-Based XAI for Flood Detection from SAR Images. | Anastasia Schlegel, Ronny Hnsch |
| 2024 | IGARSS | Forest Mapping with Tandem-X Insar Data and Self-Supervised Learning. | Jos-Luis Bueso-Bello, Benjamin Chauvel, Daniel Carcereri, Ronny Hnsch, Paola Rizzoli |
| 2024 | IGARSS | AI-Powered Flood Mapathon. | Kaiqiang Chen, Xue Lu, Taowei Sheng, Xiaoyu Liu, Jialiang Chen, Zhirui Wang, Xian Sun, Ronny Hnsch |
| 2024 | IGARSS | Introducing SpaceNet 9 - Cross-Modal Satellite Imagery Registration for Natural Disaster Responses. | Ronny Hnsch, Jacob Arndt, Philipe A. Dias, Abhishek Potnis, Dalton D. Lunga, Desiree Petrie, Todd M. Bacastow |
| 2024 | IGARSS | Earth Observation and Machine Learning for Climate Change. | Ronny Hnsch, Mousmi Ajay Chaurasia |
| 2024 | IGARSS | Correction of The Penetration Bias for Insar Dem Via Synergetic Ai-Physical Modeling: A Greenland Case Study. | Islam Mansour, Georg Fischer, Ronny Hnsch, Irena Hajnsek, Konstantinos Papathanassiou |
| 2023 | IGARSS | Multimodal self-supervised learning for semantic analysis of PolSAR imagery. | Yanxin Dong, Ronny Hnsch |
| 2023 | IGARSS | SpaceNet 8: Winning Approaches to Multi-Class Feature Segmentation from Satellite Imagery for Flood Disasters. | Ronny Hnsch, Jacob Arndt, Dalton D. Lunga, Tyler Pedelose, Arnold P. Boedihardjo, Joshua Pfefferkorn, Desiree Petrie, Todd M. Bacastow |
| 2023 | IGARSS | ARD, FAIR Earth Observation Principles, Data Fusion: Where are we and where do we need to go? | Dalton D. Lunga, Ronny Hnsch, Ujjwal Verma, Fabio Pacifici, George Percivall, Silvia Liberata Ullo |
| 2023 | IGARSS | Deep Learning for Forest Canopy Height Estimation from SAR. | Ragini Bal Mahesh, Ronny Hnsch |
| 2022 | CVPR | SpaceNet 8 - The Detection of Flooded Roads and Buildings. | Ronny Hnsch, Jacob Arndt, Dalton D. Lunga, Matthew Gibb, Tyler Pedelose, Arnold P. Boedihardjo, Desiree Petrie, Todd M. Bacastow |
| 2022 | CVPR | Urban Building Classification (UBC) - A Dataset for Individual Building Detection and Classification from Satellite Imagery. | Xingliang Huang, Libo Ren, Chenglong Liu, Yixuan Wang, Hongfeng Yu, Michael Schmitt, Ronny Hnsch, Xian Sun, Hai Huang, Helmut Mayer |
| 2022 | IGARSS | Generalization in Object Recognition from SAR Imagery. | Francescopaolo Sica, Andrea Pulella, Carlos Villamil Lopez, Harald Anglberger, Ronny Hnsch |
| 2022 | IGARSS | EOD: The IEEE GRSS Earth Observation Database. | Michael Schmitt, Pedram Ghamisi, Naoto Yokoya, Ronny Hnsch |
| 2022 | IGARSS | The SpaceNet 8 Challenge - From Foundation Mapping to Flood Detection. | Ronny Hnsch, Jacob Arndt, Matthew Gibb, Arnold P. Boedihardjo, Tyler Pedelose, Todd M. Bacastow |
| 2021 | IGARSS | There is No Data Like More Data - Current Status of Machine Learning Datasets in Remote Sensing. | Michael Schmitt, Seyed Ali Ahmadi, Ronny Hnsch |
| 2021 | IGARSS | The Trap Of Random Sampling and How to Avoid It - Alternative Sampling Strategies for a Realistic Estimate of the Generalization Error in Remote Sensing. | Ronny Hnsch |
| 2020 | CVPR | Match or No Match: Keypoint Filtering based on Matching Probability. | Alexandra I. Papadaki, Ronny Hnsch |
| 2020 | CVPR | SpaceNet 6: Multi-Sensor All Weather Mapping Dataset. | Jacob Shermeyer, Daniel Hogan, Jason Brown, Adam Van Etten, Nicholas Weir, Fabio Pacifici, Ronny Hnsch, Alexei Bastidas, Scott Soenen, Todd M. Bacastow, Ryan Lewis |
| 2020 | IGARSS | Stacked Random Forests: More Accurate and Better Calibrated. | Ronny Hnsch |
| 2020 | IGARSS | Unsupervised Clustering of C-Band Polsar Data Over Sea ICE. | Ronny Hnsch, Joel A. Amao Oliva, Ralf Horn, Marc Jger, Rolf Scheiber |
| 2019 | CVPR | A Digital Image Processing Pipeline for Modelling of Realistic Noise in Synthetic Images. | Oleksandra Bielova, Ronny Hnsch, Andreas Ley, Olaf Hellwich |
| 2019 | IGARSS | The Truth About Ground Truth: Label Noise in Human-Generated Reference Data. | Ronny Hnsch, Olaf Hellwich |
| 2019 | IGARSS | Online Random Forests For Large-Scale Land-Use Classification From Polarimetric Sar Images. | Ronny Hnsch, Olaf Hellwich |
| 2019 | WACV | Colorful Trees: Visualizing Random Forests for Analysis and Interpretation. | Ronny Hnsch, Philipp Wiesner, Sophie Wendler, Olaf Hellwich |
| 2018 | IGARSS | Feature Design for Classification from Tomosar Data. | Olivier D'Hondt, Ronny Hnsch, Olaf Hellwich |
| 2018 | IGARSS | A Comparative Evaluation of Polarimetric Distance Measures within the Random Forest Framework for the Classification of Polsar Images. | Ronny Hnsch, Olaf Hellwich |
| 2017 | IGARSS | Correct and still wrong: The relationship between sampling strategies and the estimation of the generalization error. | Ronny Hnsch, Andreas Ley, Olaf Hellwich |
| 2016 | ECCV | SyB3R: A Realistic Synthetic Benchmark for 3D Reconstruction from Images. | Andreas Ley, Ronny Hnsch, Olaf Hellwich |
| 2016 | IGARSS | When to fuse what? random forest based fusion of low-, mid-, and high-level information for land cover classification from optical and SAR images. | Ronny Hnsch, Olaf Hellwich |
| 2016 | IGARSS | Machine-learning based detection of corresponding interest points in optical and SAR images. | Ronny Hnsch, Olaf Hellwich, Xiaohong Tu |
| 2015 | IGARSS | Evaluation of tree creation methods within random forests for classification of PolSAR images. | Ronny Hnsch, Olaf Hellwich |
| 2014 | IGARSS | Graph-cut segmentation of polarimetric SAR images. | Ronny Hnsch, Olaf Hellwich, Xi Wang |
| 2013 | IBPRIA | Integrated Matching and Geocoding of SAR and Optical Satellite Images. | Olaf Hellwich, Cornelius Wefelscheid, Jakub Lukaszewicz, Ronny Hnsch, Muhammad Adnan Siddique, Adam Stanski |
| 2010 | IGARSS | Random Forests for building detection in polarimetric SAR data. | Ronny Hnsch, Olaf Hellwich |
| 2009 | IGARSS | Semi-supervised Learning for Classification of Polarimetric SAR-Data. | Ronny Hnsch, Olaf Hellwich |
| 2007 | IGARSS | A distributed approach to efficient time-domain SAR processing. | Andreas Reigber, Marc Jger, Andreas Dietzsch, Ronny Hnsch, Michael Weber, Heiko Przybyl, Pau Prats |