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Ronny Hänsch

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affiliation: TU Berlin, Germany

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Books and Theses

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2021
[b2]
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Ronny Hänsch:
Handbook of Random Forests - Theory and Applications for Remote Sensing. Series in Computer Vision, WorldScientific 2021, ISBN 9789813224056, pp. 1-300
2014
[b1]
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Ronny Hänsch:
Generic object categorization in PolSAR images - and beyond. Berlin Institute of Technology, 2014

Journal Articles

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2025
[j24]
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Islam Mansour, Konstantinos Papathanassiou, Ronny Hänsch, Irena Hajnsek:
Hybrid Machine Learning Forest Height Estimation From TanDEM-X InSAR. IEEE Trans. Geosci. Remote. Sens. 63: 1-11 (2025)
2024
[j23]
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Ragini Bal Mahesh, Ronny Hänsch:
Forest Height Estimation With TanDEM-X SAR and InSAR Features Using Deep Learning. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024)
[j22]
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Sergio Alejandro Serafín-García, Matteo Nannini, Ronny Hänsch, Gustavo D. Martín del Campo-Becerra, Andreas Reigber:
Deep-Learning-Based View Interpolation Toward Improved TomoSAR Focusing. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024)
[j21]
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Ujjwal Verma, Dalton D. Lunga, Ronny Hänsch, Claudio Persello, Silvia Liberata Ullo:
Recent Advances in Machine Learning for Remote Sensing Toward the Sustainable Development Goals. IEEE Geosci. Remote. Sens. Lett. 21: 1-4 (2024)
[j20]
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Yuheng Liu, Ye Wang, Yifan Zhang, Shaohui Mei, Jiaqi Zou, Zhuohong Li, Fangxiao Lu, Wei He, Hongyan Zhang, Huilin Zhao, Chuan Chen, Cong Xia, Hao Li, Gemine Vivone, Ronny Hänsch, Gülsen Taskin Kaya, Jing Yao, A. Kai Qin, Bing Zhang, Jocelyn Chanussot, Danfeng Hong:
Cross-City Semantic Segmentation (C2Seg) in Multimodal Remote Sensing: Outcome of the 2023 IEEE WHISPERS C2Seg Challenge. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 8851-8862 (2024)
[j19]
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Guozhang Liu, Baochai Peng, Ting Liu, Pan Zhang, Mengke Yuan, Chaoran Lu, Ningning Cao, Sen Zhang, Simin Huang, Tao Wang, Xiaoqiang Lu, Licheng Jiao, Qiong Liu, Lingling Li, Fang Liu, Xu Liu, Yuting Yang, Kaiqiang Chen, Zhiyuan Yan, Deke Tang, Hai Huang, Michael Schmitt, Xian Sun, Gemine Vivone, Claudio Persello, Ronny Hänsch:
Large-Scale Fine-Grained Building Classification and Height Estimation for Semantic Urban Reconstruction: Outcome of the 2023 IEEE GRSS Data Fusion Contest. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 11194-11207 (2024)
2023
[j18]
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Claudio Persello, Jeroen Grift, Xinyan Fan, Claudia Paris, Ronny Hänsch, Mila Koeva, Andrew Nelson:
AI4SmallFarms: A Dataset for Crop Field Delineation in Southeast Asian Smallholder Farms. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023)
[j17]
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Xingliang Huang, Kaiqiang Chen, Deke Tang, Chenglong Liu, Libo Ren, Zheng Sun, Ronny Hänsch, Michael Schmitt, Xian Sun, Hai Huang, Helmut Mayer:
Urban Building Classification (UBC) V2 - A Benchmark for Global Building Detection and Fine-Grained Classification From Satellite Imagery. IEEE Trans. Geosci. Remote. Sens. 61: 1-16 (2023)
2022
[j16]
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Zhuohong Li, Fangxiao Lu, Hongyan Zhang, Lilin Tu, Jiayi Li, Xin Huang, Caleb Robinson, Nikolay Malkin, Nebojsa Jojic, Pedram Ghamisi, Ronny Hänsch, Naoto Yokoya:
The Outcome of the 2021 IEEE GRSS Data Fusion Contest - Track MSD: Multitemporal Semantic Change Detection. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 1643-1655 (2022)
[j15]
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Pengchao Wei, Ronny Hänsch:
Random Ferns for Semantic Segmentation of PolSAR Images. IEEE Trans. Geosci. Remote. Sens. 60: 1-12 (2022)
2021
[j14]
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Ronny Hänsch, Olaf Hellwich:
Fusion of Multispectral LiDAR, Hyperspectral, and RGB Data for Urban Land Cover Classification. IEEE Geosci. Remote. Sens. Lett. 18(2): 366-370 (2021)
[j13]
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Saket Kunwar, Hongyu Chen, Manhui Lin, Hongyan Zhang, Pablo d'Angelo, Daniele Cerra, Seyed Majid Azimi, Myron Brown, Gregory D. Hager, Naoto Yokoya, Ronny Hänsch, Bertrand Le Saux:
Large-Scale Semantic 3-D Reconstruction: Outcome of the 2019 IEEE GRSS Data Fusion Contest - Part A. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 922-935 (2021)
[j12]
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Yanchao Lian, Tuo Feng, Jinliu Zhou, Meixia Jia, Aijin Li, Zhaoyang Wu, Licheng Jiao, Myron Brown, Gregory D. Hager, Naoto Yokoya, Ronny Hänsch, Bertrand Le Saux:
Large-Scale Semantic 3-D Reconstruction: Outcome of the 2019 IEEE GRSS Data Fusion Contest - Part B. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 1158-1170 (2021)
[j11]
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Caleb Robinson, Kolya Malkin, Nebojsa Jojic, Huijun Chen, Rongjun Qin, Changlin Xiao, Michael Schmitt, Pedram Ghamisi, Ronny Hänsch, Naoto Yokoya:
Global Land-Cover Mapping With Weak Supervision: Outcome of the 2020 IEEE GRSS Data Fusion Contest. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 3185-3199 (2021)
[j10]
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Xian Sun, Peijin Wang, Zhiyuan Yan, Wenhui Diao, Xiaonan Lu, Zhujun Yang, Yidan Zhang, Deliang Xiang, Chen Yan, Jie Guo, Bo Dang, Wei Wei, Feng Xu, Cheng Wang, Ronny Hänsch, Martin Weinmann, Naoto Yokoya, Kun Fu:
Automated High-Resolution Earth Observation Image Interpretation: Outcome of the 2020 Gaofen Challenge. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 8922-8940 (2021)
[j9]
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Yanbiao Ma, Yuxin Li, Kexin Feng, Yu Xia, Qi Huang, Hongyan Zhang, Colin Prieur, Giorgio Licciardi, Hana Malha, Jocelyn Chanussot, Pedram Ghamisi, Ronny Hänsch, Naoto Yokoya:
The Outcome of the 2021 IEEE GRSS Data Fusion Contest - Track DSE: Detection of Settlements Without Electricity. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 12375-12385 (2021)
[j8]
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Ronny Hänsch, Thomas Jagdhuber, Benjamin Fersch:
Soil-Permittivity Estimation Under Grassland Using Machine-Learning and Polarimetric Decomposition Techniques. IEEE Trans. Geosci. Remote. Sens. 59(4): 2877-2887 (2021)
2020
[j7]
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Devis Tuia, Ronny Hänsch, Naoto Yokoya, Myron Brown, Bertrand Le Saux:
Foreword to the Special Issue on Computer Vision-Based Approaches for Earth Observation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 6515-6518 (2020)
2019
[j6]
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Yonghao Xu, Bo Du, Liangpei Zhang, Daniele Cerra, Miguel Pato, Emiliano Carmona, Saurabh Prasad, Naoto Yokoya, Ronny Hänsch, Bertrand Le Saux:
Advanced Multi-Sensor Optical Remote Sensing for Urban Land Use and Land Cover Classification: Outcome of the 2018 IEEE GRSS Data Fusion Contest. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 12(6): 1709-1724 (2019)
2018
[j5]
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Ronny Hänsch, Olaf Hellwich:
Classification of PolSAR Images by Stacked Random Forests. ISPRS Int. J. Geo Inf. 7(2): 74 (2018)
[j4]
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Olivier D'Hondt, Ronny Hänsch, Nicolas Wagener, Olaf Hellwich:
Exploiting SAR Tomography for Supervised Land-Cover Classification. Remote. Sens. 10(11): 1742 (2018)
2016
[j3]
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Johannes Kamp, Ronny Hänsch, Gregor Kendzierski, Matthias Kraume, Olaf Hellwich:
Automated image analysis for trajectory determination of single drop collisions. Comput. Chem. Eng. 89: 184-191 (2016)
2012
[j2]
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Sebastian Maaß, Jürgen Rojahn, Ronny Hänsch, Matthias Kraume:
Automated drop detection using image analysis for online particle size monitoring in multiphase systems. Comput. Chem. Eng. 45: 27-37 (2012)
2011
[j1]
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Jan Dirk Wegner, Ronny Hänsch, Antje Thiele, Uwe Soergel:
Building Detection From One Orthophoto and High-Resolution InSAR Data Using Conditional Random Fields. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 4(1): 83-91 (2011)

Conference and Workshop Papers

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2024
[c53]
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Rudhishna Narayanan Nair, Ronny Hänsch:
Let me show you how it's done - Cross-modal knowledge distillation as pretext task for semantic segmentation. CVPR Workshops 2024: 595-603
[c52]
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Islam Mansour, Georg Fischer, Ronny Hänsch, Irena Hajnsek, Konstantinos Papathanassiou:
Correction of The Penetration Bias for Insar Dem Via Synergetic Ai-Physical Modeling: A Greenland Case Study. IGARSS 2024: 138-142
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Ronny Hänsch, Jacob Arndt, Philipe A. Dias, Abhishek Potnis, Dalton D. Lunga, Desiree Petrie, Todd M. Bacastow:
Introducing SpaceNet 9 - Cross-Modal Satellite Imagery Registration for Natural Disaster Responses. IGARSS 2024: 234-238
[c50]
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Ronny Hänsch, Mousmi Ajay Chaurasia:
Earth Observation and Machine Learning for Climate Change. IGARSS 2024: 1676-1682
[c49]
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Anastasia Schlegel, Ronny Hänsch:
On Perturbation-Based XAI for Flood Detection from SAR Images. IGARSS 2024: 2150-2154
[c48]
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Kaiqiang Chen, Xue Lu, Taowei Sheng, Xiaoyu Liu, Jialiang Chen, Zhirui Wang, Xian Sun, Ronny Hänsch:
AI-Powered Flood Mapathon. IGARSS 2024: 3841-3844
[c47]
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José-Luis Bueso-Bello, Benjamin Chauvel, Daniel Carcereri, Ronny Hänsch, Paola Rizzoli:
Forest Mapping with Tandem-X Insar Data and Self-Supervised Learning. IGARSS 2024: 4431-4434
2023
[c46]
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Dalton D. Lunga, Ronny Hänsch, Ujjwal Verma, Fabio Pacifici, George Percivall, Silvia Liberata Ullo:
ARD, FAIR Earth Observation Principles, Data Fusion: Where are we and where do we need to go? IGARSS 2023: 1122-1125
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Ronny Hänsch, Jacob Arndt, Dalton D. Lunga, Tyler Pedelose, Arnold P. Boedihardjo, Joshua Pfefferkorn, Desiree Petrie, Todd M. Bacastow:
SpaceNet 8: Winning Approaches to Multi-Class Feature Segmentation from Satellite Imagery for Flood Disasters. IGARSS 2023: 1241-1244
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Yanxin Dong, Ronny Hänsch:
Multimodal self-supervised learning for semantic analysis of PolSAR imagery. IGARSS 2023: 1704-1707
[c43]
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Ragini Bal Mahesh, Ronny Hänsch:
Deep Learning for Forest Canopy Height Estimation from SAR. IGARSS 2023: 5672-5675
2022
[c42]
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Xingliang Huang, Libo Ren, Chenglong Liu, Yixuan Wang, Hongfeng Yu, Michael Schmitt, Ronny Hänsch, Xian Sun, Hai Huang, Helmut Mayer:
Urban Building Classification (UBC) - A Dataset for Individual Building Detection and Classification from Satellite Imagery. CVPR Workshops 2022: 1412-1420
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Ronny Hänsch, Jacob Arndt, Dalton D. Lunga, Matthew Gibb, Tyler Pedelose, Arnold P. Boedihardjo, Desiree Petrie, Todd M. Bacastow:
SpaceNet 8 - The Detection of Flooded Roads and Buildings. CVPR Workshops 2022: 1471-1479
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Francescopaolo Sica, Andrea Pulella, Carlos Villamil Lopez, Harald Anglberger, Ronny Hänsch:
Generalization in Object Recognition from SAR Imagery. IGARSS 2022: 1007-1010
[c39]
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Ronny Hänsch, Jacob Arndt, Matthew Gibb, Arnold P. Boedihardjo, Tyler Pedelose, Todd M. Bacastow:
The SpaceNet 8 Challenge - From Foundation Mapping to Flood Detection. IGARSS 2022: 5073-5076
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Michael Schmitt, Pedram Ghamisi, Naoto Yokoya, Ronny Hänsch:
EOD: The IEEE GRSS Earth Observation Database. IGARSS 2022: 5365-5368
2021
[c37]
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Michael Schmitt, Seyed Ali Ahmadi, Ronny Hänsch:
There is No Data Like More Data - Current Status of Machine Learning Datasets in Remote Sensing. IGARSS 2021: 1206-1209
[c36]
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Ronny Hänsch:
The Trap Of Random Sampling and How to Avoid It - Alternative Sampling Strategies for a Realistic Estimate of the Generalization Error in Remote Sensing. IGARSS 2021: 2020-2023
2020
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Jacob Shermeyer, Daniel Hogan, Jason Brown, Adam Van Etten, Nicholas Weir, Fabio Pacifici, Ronny Hänsch, Alexei Bastidas, Scott Soenen, Todd M. Bacastow, Ryan Lewis:
SpaceNet 6: Multi-Sensor All Weather Mapping Dataset. CVPR Workshops 2020: 768-777
[c34]
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Alexandra I. Papadaki, Ronny Hänsch:
Match or No Match: Keypoint Filtering based on Matching Probability. CVPR Workshops 2020: 4371-4378
[c33]
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Ronny Hänsch:
Looking Outside the Box: The Role of Context in Random Forest Based Semantic Segmentation of PolSAR Images. GCPR 2020: 260-274
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Ronny Hänsch:
Stacked Random Forests: More Accurate and Better Calibrated. IGARSS 2020: 1751-1754
[c31]
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Ronny Hänsch, Joel A. Amao Oliva, Ralf Horn, Marc Jäger, Rolf Scheiber:
Unsupervised Clustering of C-Band Polsar Data Over Sea ICE. IGARSS 2020: 3059-3062
2019
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Oleksandra Bielova, Ronny Hänsch, Andreas Ley, Olaf Hellwich:
A Digital Image Processing Pipeline for Modelling of Realistic Noise in Synthetic Images. CVPR Workshops 2019: 2905-2914
[c29]
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Ronny Hänsch, Olaf Hellwich:
The Truth About Ground Truth: Label Noise in Human-Generated Reference Data. IGARSS 2019: 5594-5597
[c28]
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Ronny Hänsch, Olaf Hellwich:
Online Random Forests For Large-Scale Land-Use Classification From Polarimetric Sar Images. IGARSS 2019: 5808-5811
[c27]
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Ronny Hänsch, Olaf Hellwich:
Online Random Forests for Urban Area Classification from Polarimetric SAR Images. JURSE 2019: 1-4
[c26]
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Ronny Hänsch, Philipp Wiesner, Sophie Wendler, Olaf Hellwich:
Colorful Trees: Visualizing Random Forests for Analysis and Interpretation. WACV 2019: 294-302
2018
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Helge Mohn, Mark Gaebelein, Ronny Hänsch, Olaf Hellwich:
Random Forests Based Image Colorization. VISIGRAPP (Revised Selected Papers) 2018: 281-297
[c24]
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Jeremias Eichelbaum, Ronny Hänsch, Olaf Hellwich:
Classification of Icon Type and Cooldown State in Video Game Replays. ICIAR 2018: 227-234
[c23]
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Olivier D'Hondt, Ronny Hänsch, Olaf Hellwich:
Feature Design for Classification from Tomosar Data. IGARSS 2018: 6739-6742
[c22]
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Ronny Hänsch, Olaf Hellwich:
A Comparative Evaluation of Polarimetric Distance Measures within the Random Forest Framework for the Classification of Polsar Images. IGARSS 2018: 8440-8443
[c21]
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Manuel Wöllhaf, Ronny Hänsch, Olaf Hellwich:
Leveraging the Spatial Label Structure for Semantic Image Labeling using Random Forests. VISIGRAPP (5: VISAPP) 2018: 193-200
[c20]
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Helge Mohn, Mark Gaebelein, Ronny Hänsch, Olaf Hellwich:
Towards Image Colorization with Random Forests. VISIGRAPP (4: VISAPP) 2018: 270-278
2017
[c19]
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Ronny Hänsch, Andreas Ley, Olaf Hellwich:
Correct and still wrong: The relationship between sampling strategies and the estimation of the generalization error. IGARSS 2017: 3672-3675
[c18]
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Irina Nurutdinova, Ronny Hänsch, Vincent Mühler, Stavroula Bourou, Alexandra I. Papadaki, Olaf Hellwich:
Specularity, Shadow, and Occlusion Removal for Planar Objects in Stereo Case. VISIGRAPP (4: VISAPP) 2017: 98-106
[c17]
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Ronny Hänsch, Stefan Kaiser, Olaf Hellwich:
Near Real-time Object Detection in RGBD Data. VISIGRAPP (5: VISAPP) 2017: 179-186
2016
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Andreas Ley, Ronny Hänsch, Olaf Hellwich:
SyB3R: A Realistic Synthetic Benchmark for 3D Reconstruction from Images. ECCV (7) 2016: 236-251
[c15]
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Ronny Hänsch, Olaf Hellwich, Xiaohong Tu:
Machine-learning based detection of corresponding interest points in optical and SAR images. IGARSS 2016: 1492-1495
[c14]
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Ronny Hänsch, Olaf Hellwich:
When to fuse what? random forest based fusion of low-, mid-, and high-level information for land cover classification from optical and SAR images. IGARSS 2016: 3587-3590
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Konstantinos Amplianitis, Ronny Hänsch, Ralf Reulke:
Human Recognition in RGBD Combining Object Detectors and Conditional Random Fields. VISIGRAPP (4: VISAPP) 2016: 655-663
2015
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Ronny Hänsch, Olaf Hellwich:
Performance Assessment and Interpretation of Random Forests by Three-dimensional Visualizations. IVAPP 2015: 149-156
[c11]
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Ronny Hänsch, Olaf Hellwich:
Evaluation of tree creation methods within random forests for classification of PolSAR images. IGARSS 2015: 361-364
[c10]
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Elisavet Konstantina Stathopoulou, Ronny Hänsch, Olaf Hellwich:
Prior Knowledge About Camera Motion for Outlier Removal in Feature Matching. VISAPP (2) 2015: 603-610
[c9]
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Ronny Hänsch, Olaf Hellwich:
Feature-independent classification of hyperspectral images by projection-based random forests. WHISPERS 2015: 1-4
2014
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Ronny Hänsch, Olaf Hellwich, Xi Wang:
Graph-cut segmentation of polarimetric SAR images. IGARSS 2014: 1733-1736
[c7]
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Xi Wang, Ronny Hänsch, Lizhuang Ma, Olaf Hellwich:
Comparison of Different Color Spaces for Image Segmentation using Graph-cut. VISAPP (1) 2014: 301-308
[c6]
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Tobias Fiebig, Jan Krissler, Ronny Hänsch:
Security Impact of High Resolution Smartphone Cameras. WOOT 2014
2013
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Olaf Hellwich, Cornelius Wefelscheid, Jakub Lukaszewicz, Ronny Hänsch, Muhammad Adnan Siddique, Adam Stanski:
Integrated Matching and Geocoding of SAR and Optical Satellite Images. IbPRIA 2013: 798-807
2012
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Merza Klaghstan, Ronny Hänsch, David Coquil, Olaf Hellwich:
Impact of hierarchical structures in image categorization systems. IPTA 2012: 367-370
2010
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Ronny Hänsch, Olaf Hellwich:
Random Forests for building detection in polarimetric SAR data. IGARSS 2010: 460-463
2009
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Ronny Hänsch, Olaf Hellwich:
Semi-supervised Learning for Classification of Polarimetric SAR-Data. IGARSS (3) 2009: 987-990
2007
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Andreas Reigber, Marc Jäger, Andreas Dietzsch, Ronny Hänsch, Michael Weber, Heiko Przybyl, Pau Prats:
A distributed approach to efficient time-domain SAR processing. IGARSS 2007: 582-585

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2022
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Bertrand Le Saux, Naoto Yokoya, Ronny Hänsch, Myron Brown:
Data Fusion Contest 2019 (DFC2019). IEEE DataPort, 2022
2020
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Saurabh Prasad, Bertrand Le Saux, Naoto Yokoya, Ronny Hänsch:
2018 IEEE GRSS Data Fusion Challenge - Fusion of Multispectral LiDAR and Hyperspectral Data. IEEE DataPort, 2020

Informal and Other Publications

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2023
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Michael Schmitt, Seyed Ali Ahmadi, Yonghao Xu, Gülsen Taskin, Ujjwal Verma, Francescopaolo Sica, Ronny Hänsch:
There Are No Data Like More Data- Datasets for Deep Learning in Earth Observation. CoRR abs/2310.19231 (2023)
[i7]
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Muthukumaran Ramasubramanian, Iksha Gurung, Shubhankar Gahlot, Ronny Hänsch, Andrew L. Molthan, Manil Maskey:
Leveraging Citizen Science for Flood Extent Detection using Machine Learning Benchmark Dataset. CoRR abs/2311.09276 (2023)
[i6]
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Ribana Roscher, Marc Rußwurm, Caroline Gevaert, Michael Kampffmeyer, Jefersson A. dos Santos, Maria Vakalopoulou, Ronny Hänsch, Stine Hansen, Keiller Nogueira, Jonathan Prexl, Devis Tuia:
Data-Centric Machine Learning for Geospatial Remote Sensing Data. CoRR abs/2312.05327 (2023)
2022
[i5]
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Pengchao Wei, Ronny Hänsch:
Random Ferns for Semantic Segmentation of PolSAR Images. CoRR abs/2202.03498 (2022)
[i4]
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Michael Schmitt, Pedram Ghamisi, Naoto Yokoya, Ronny Hänsch:
EOD: The IEEE GRSS Earth Observation Database. CoRR abs/2209.12480 (2022)
2021
[i3]
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Michael Schmitt, Seyed Ali Ahmadi, Ronny Hänsch:
There is no data like more data - current status of machine learning datasets in remote sensing. CoRR abs/2105.11726 (2021)
[i2]
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Claudio Persello, Jan Dirk Wegner, Ronny Hänsch, Devis Tuia, Pedram Ghamisi, Mila Koeva, Gustau Camps-Valls:
Deep Learning and Earth Observation to Support the Sustainable Development Goals. CoRR abs/2112.11367 (2021)
2020
[i1]
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Jacob Shermeyer, Daniel Hogan, Jason Brown, Adam Van Etten, Nicholas Weir, Fabio Pacifici, Ronny Hänsch, Alexei Bastidas, Scott Soenen, Todd M. Bacastow, Ryan Lewis:
SpaceNet 6: Multi-Sensor All Weather Mapping Dataset. CoRR abs/2004.06500 (2020)

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