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Ronny Hänsch
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- affiliation: TU Berlin, Germany
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2020 – today
- 2024
- [j22]Sergio Alejandro Serafín-García
, Matteo Nannini
Deep-Learning-Based View Interpolation Toward Improved TomoSAR Focusing. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [j21]Ujjwal Verma
Recent Advances in Machine Learning for Remote Sensing Toward the Sustainable Development Goals. IEEE Geosci. Remote. Sens. Lett. 21: 1-4 (2024) - [j20]Yuheng Liu
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]Guozhang Liu
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) - [c53]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]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 - [c51]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]Ronny Hänsch, Mousmi A. Chaurasia:
Earth Observation and Machine Learning for Climate Change. IGARSS 2024: 1676-1682 - [c49]Anastasia Schlegel, Ronny Hänsch:
On Perturbation-Based XAI for Flood Detection from SAR Images. IGARSS 2024: 2150-2154 - [c48]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]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
- [j18]Claudio Persello
AI4SmallFarms: A Dataset for Crop Field Delineation in Southeast Asian Smallholder Farms. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - [j17]Xingliang Huang
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) - [c46]Dalton D. Lunga, Ronny Hänsch, Ujjwal Verma
ARD, FAIR Earth Observation Principles, Data Fusion: Where are we and where do we need to go? IGARSS 2023: 1122-1125 - [c45]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 - [c44]Yanxin Dong, Ronny Hänsch:
Multimodal self-supervised learning for semantic analysis of PolSAR imagery. IGARSS 2023: 1704-1707 - [c43]Ragini Bal Mahesh
Deep Learning for Forest Canopy Height Estimation from SAR. IGARSS 2023: 5672-5675 - [i8]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]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]Ribana Roscher, Marc Rußwurm, Caroline Gevaert
Data-Centric Machine Learning for Geospatial Remote Sensing Data. CoRR abs/2312.05327 (2023) - 2022
- [j16]Zhuohong Li
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]Pengchao Wei
Random Ferns for Semantic Segmentation of PolSAR Images. IEEE Trans. Geosci. Remote. Sens. 60: 1-12 (2022) - [c42]Xingliang Huang
Urban Building Classification (UBC) - A Dataset for Individual Building Detection and Classification from Satellite Imagery. CVPR Workshops 2022: 1412-1420 - [c41]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 - [c40]Francescopaolo Sica, Andrea Pulella, Carlos Villamil Lopez, Harald Anglberger, Ronny Hänsch:
Generalization in Object Recognition from SAR Imagery. IGARSS 2022: 1007-1010 - [c39]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 - [c38]Michael Schmitt, Pedram Ghamisi, Naoto Yokoya, Ronny Hänsch:
EOD: The IEEE GRSS Earth Observation Database. IGARSS 2022: 5365-5368 - [d2]Bertrand Le Saux
Data Fusion Contest 2019 (DFC2019). IEEE DataPort, 2022 - [i5]Pengchao Wei, Ronny Hänsch:
Random Ferns for Semantic Segmentation of PolSAR Images. CoRR abs/2202.03498 (2022) - [i4]Michael Schmitt, Pedram Ghamisi, Naoto Yokoya, Ronny Hänsch:
EOD: The IEEE GRSS Earth Observation Database. CoRR abs/2209.12480 (2022) - 2021
- [b2]Ronny Hänsch:
Handbook of Random Forests - Theory and Applications for Remote Sensing. Series in Computer Vision, WorldScientific 2021, ISBN 9789813224056, pp. 1-300 - [j14]Ronny Hänsch
Fusion of Multispectral LiDAR, Hyperspectral, and RGB Data for Urban Land Cover Classification. IEEE Geosci. Remote. Sens. Lett. 18(2): 366-370 (2021) - [j13]Saket Kunwar, Hongyu Chen
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]Yanchao Lian, Tuo Feng
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]Caleb Robinson, Kolya Malkin, Nebojsa Jojic, Huijun Chen, Rongjun Qin
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]Xian Sun
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]Yanbiao Ma
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]Ronny Hänsch
Soil-Permittivity Estimation Under Grassland Using Machine-Learning and Polarimetric Decomposition Techniques. IEEE Trans. Geosci. Remote. Sens. 59(4): 2877-2887 (2021) - [c37]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]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 - [i3]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]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
- [j7]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) - [c35]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]Alexandra I. Papadaki
Match or No Match: Keypoint Filtering based on Matching Probability. CVPR Workshops 2020: 4371-4378 - [c33]Ronny Hänsch:
Looking Outside the Box: The Role of Context in Random Forest Based Semantic Segmentation of PolSAR Images. GCPR 2020: 260-274 - [c32]Ronny Hänsch:
Stacked Random Forests: More Accurate and Better Calibrated. IGARSS 2020: 1751-1754 - [c31]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 - [d1]Saurabh Prasad
2018 IEEE GRSS Data Fusion Challenge - Fusion of Multispectral LiDAR and Hyperspectral Data. IEEE DataPort, 2020 - [i1]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)
2010 – 2019
- 2019
- [j6]Yonghao Xu
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) - [c30]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]Ronny Hänsch, Olaf Hellwich:
The Truth About Ground Truth: Label Noise in Human-Generated Reference Data. IGARSS 2019: 5594-5597 - [c28]Ronny Hänsch, Olaf Hellwich:
Online Random Forests For Large-Scale Land-Use Classification From Polarimetric Sar Images. IGARSS 2019: 5808-5811 - [c27]Ronny Hänsch, Olaf Hellwich:
Online Random Forests for Urban Area Classification from Polarimetric SAR Images. JURSE 2019: 1-4 - [c26]Ronny Hänsch, Philipp Wiesner
Colorful Trees: Visualizing Random Forests for Analysis and Interpretation. WACV 2019: 294-302 - 2018
- [j5]Ronny Hänsch
Classification of PolSAR Images by Stacked Random Forests. ISPRS Int. J. Geo Inf. 7(2): 74 (2018) - [j4]Olivier D'Hondt
Exploiting SAR Tomography for Supervised Land-Cover Classification. Remote. Sens. 10(11): 1742 (2018) - [c25]Helge Mohn
Random Forests Based Image Colorization. VISIGRAPP (Revised Selected Papers) 2018: 281-297 - [c24]Jeremias Eichelbaum, Ronny Hänsch, Olaf Hellwich:
Classification of Icon Type and Cooldown State in Video Game Replays. ICIAR 2018: 227-234 - [c23]Olivier D'Hondt, Ronny Hänsch, Olaf Hellwich:
Feature Design for Classification from Tomosar Data. IGARSS 2018: 6739-6742 - [c22]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]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]Helge Mohn
Towards Image Colorization with Random Forests. VISIGRAPP (4: VISAPP) 2018: 270-278 - 2017
- [c19]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]Irina Nurutdinova, Ronny Hänsch, Vincent Mühler, Stavroula Bourou, Alexandra I. Papadaki
Specularity, Shadow, and Occlusion Removal for Planar Objects in Stereo Case. VISIGRAPP (4: VISAPP) 2017: 98-106 - [c17]Ronny Hänsch, Stefan Kaiser, Olaf Hellwich:
Near Real-time Object Detection in RGBD Data. VISIGRAPP (5: VISAPP) 2017: 179-186 - 2016
- [j3]Johannes Kamp
Automated image analysis for trajectory determination of single drop collisions. Comput. Chem. Eng. 89: 184-191 (2016) - [c16]Andreas Ley, Ronny Hänsch, Olaf Hellwich:
SyB3R: A Realistic Synthetic Benchmark for 3D Reconstruction from Images. ECCV (7) 2016: 236-251 - [c15]Ronny Hänsch, Olaf Hellwich, Xiaohong Tu:
Machine-learning based detection of corresponding interest points in optical and SAR images. IGARSS 2016: 1492-1495 - [c14]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 - [c13]Konstantinos Amplianitis, Ronny Hänsch, Ralf Reulke:
Human Recognition in RGBD Combining Object Detectors and Conditional Random Fields. VISIGRAPP (4: VISAPP) 2016: 655-663 - 2015
- [c12]Ronny Hänsch, Olaf Hellwich:
Performance Assessment and Interpretation of Random Forests by Three-dimensional Visualizations. IVAPP 2015: 149-156 - [c11]Ronny Hänsch, Olaf Hellwich:
Evaluation of tree creation methods within random forests for classification of PolSAR images. IGARSS 2015: 361-364 - [c10]Elisavet Konstantina Stathopoulou, Ronny Hänsch, Olaf Hellwich:
Prior Knowledge About Camera Motion for Outlier Removal in Feature Matching. VISAPP (2) 2015: 603-610 - [c9]Ronny Hänsch, Olaf Hellwich:
Feature-independent classification of hyperspectral images by projection-based random forests. WHISPERS 2015: 1-4 - 2014
- [b1]Ronny Hänsch:
Generic object categorization in PolSAR images - and beyond. Berlin Institute of Technology, 2014 - [c8]Ronny Hänsch, Olaf Hellwich, Xi Wang
Graph-cut segmentation of polarimetric SAR images. IGARSS 2014: 1733-1736 - [c7]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]Tobias Fiebig, Jan Krissler, Ronny Hänsch:
Security Impact of High Resolution Smartphone Cameras. WOOT 2014 - 2013
- [c5]Olaf Hellwich, Cornelius Wefelscheid, Jakub Lukaszewicz, Ronny Hänsch, Muhammad Adnan Siddique
Integrated Matching and Geocoding of SAR and Optical Satellite Images. IbPRIA 2013: 798-807 - 2012
- [j2]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) - [c4]Merza Klaghstan, Ronny Hänsch, David Coquil, Olaf Hellwich:
Impact of hierarchical structures in image categorization systems. IPTA 2012: 367-370 - 2011
- [j1]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) - 2010
- [c3]Ronny Hänsch, Olaf Hellwich:
Random Forests for building detection in polarimetric SAR data. IGARSS 2010: 460-463
2000 – 2009
- 2009
- [c2]Ronny Hänsch, Olaf Hellwich:
Semi-supervised Learning for Classification of Polarimetric SAR-Data. IGARSS (3) 2009: 987-990 - 2007
- [c1]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
Coauthor Index
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last updated on 2024-11-15 20:39 CET by the dblp team
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