Deep Learning based View Interpolation towards Improved TomoSAR Focusing Sergio Alejandro Serafín-García, Matteo Nannini, Ronny Hänsch, Gustavo Daniel Martín-del-Campo-Becerra, Andreas Reigber, GRSL. |
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Large-Scale Fine-Grained Building Classification and Height Estimation for Semantic Urban Reconstruction: Outcome of the 2023 IEEE GRSS Data Fusion Contest 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, JSTARS. |
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Cross-City Semantic Segmentation (C2Seg) in Multimodal Remote Sensing: Outcome of the 2023 IEEE WHISPERS C2Seg Challenge 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, Gulsen Taskin, Jing Yao, A.K. Qin, Bing Zhang, Jocelyn Chanussot, Danfeng Hong, JSTARS. |
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Computer Vision for Earth Observation: The Second GRSS Image Analysis and Data Fusion School [Technical Committees] SL Ullo, G Vivone, G Taşkın, R Hänsch, U Verma, GRSM. |
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Let Me Show You How It's Done-Cross-modal Knowledge Distillation as Pretext Task for Semantic Segmentation RN Nair, R Hänsch, CVPR Workshop EarthVision 2024. |
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Correction of the Penetration Bias for InSAR DEM via Synergetic AI-Physical Modeling: A Greenland Case Study Islam Mansour, Georg Fischer, Ronny Hänsch, Irena Hajnsek, Konstantinos Papathanassiou, IGARSS 2024. |
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Forest Mapping with TanDEM-X InSAR Data and Self-Supervised Learning Jose-Luis Bueso-Bello, Benjamin Chauvel, Daniel Carcereri, Ronny Hänsch, Paola Rizzoli, IGARSS 2024. |
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On Perturbation-based xAI for Flood Detection from SAR Images Anastasia Schlegel, Ronny Hänsch, IGARSS 2024. |
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Earth Observation and Machine Learning for Climate Change Ronny Hänsch, Mousmi Chaurasia, IGARSS 2024. |
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Introducing SpaceNet 9 - Cross-modal Satellite Imagery Registration for Natural Disaster Responses Ronny Hänsch, Jacob Arndt, Philipe Dias, Abhishek Potnis, Dalton Lunga, Desiree Petrie, Todd M. Bacastow, IGARSS 2024. |
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AI-Powered Flood Mapathon Kaiqiang Chen, Xue Lu, Taowei Sheng, Xiaoyu Liu, Jialiang Chen, Zhirui Wang, Xian Sun, Ronny Hansch, IGARSS 2024. |
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Survey of Perturbation Approaches for Explainable ML in the Context of Flood Detection from SAR Images Anastasia Schlegel, Ronny Haensch, EuSAR 2024. |
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Deep Learning-based Approaches for Forest Mapping with TanDEM-X Interferometric Data Jose Luis Bueso Bello, Benjamin Chauvel, Daniel Carcereri, Ronny Haensch, Paola Rizzoli, EuSAR 2024. |
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Harnessing Deep Learning for TomoSAR stack enhancement Sergio Alejandro Serafin Garcia, Matteo Nannini, Gustavo Martin del Campo Becerra, Ronny Hänsch, Andreas Reigber, EuSAR 2024. |
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Cross-Modal Learning for Classification of Optical and SAR Imagery Ekaterina Senchugova and Ronny Hänsch, EuSAR 2024. |
Bedoi: Benchmarks For Determining Overlapping Images With Photogrammetric Information H. Zhan, Y. F. Yu, Y. W. Xu, Q. B. Hou, R. Xia, X. Wang, Y. Feng, Z. Q. Zhan, M. L. Li, M. Gruber, R. Hänsch, and C. Heipke, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.. |
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Report on the 2023 IEEE GRSS Data Fusion Contest: Large-Scale Fine-Grained Building Classification for Semantic Urban Reconstruction [Technical Committees] R Hänsch, C Persello, G Vivone, K Chen, Z Yan, D Tang, H Huang, M Schmitt, and X. SunIEEE GRSM.. |
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AI4SmallFarms: A Data Set for Crop Field Delineation in Southeast Asian Smallholder Farms C. Persello, J. Grift, X. Fan, C. Paris, R. Hänsch, M. Koeva, A. Nelson, GRSL, 2023. |
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Urban Building Classification (UBC) V2-A Benchmark for Global Building Detection and Fine-grained Classification from Satellite Imagery X Huang, K Chen, D Tang, C Liu, L Ren, Z Sun, R Hänsch, M Schmitt, X. Sun, H. Huang, H. MayerTGRS, 2023. |
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There Are No Data Like More Data: Datasets for deep learning in Earth observation M. Schmitt, S.A. Ahmadi, Y. Xu, G. Taşkın, U. Verma, F. Sica, R. Haensch, GRSM, 2023. |
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ARD, FAIR Earth Observation Principles, Data Fusion: Where are we and where do we need to go? D. Lunga, R. Hänsch, U. Verma, F. Pacifici, G. Percivall, S.L. Ullo, IGARSS 2023. |
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Multimodal self-supervised learning for semantic analysis of PolSAR imagery Y. Dong, R. Hänsch, IGARSS 2023. |
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SpaceNet 8: Winning Approaches to Multi-Class Feature Segmentation from Satellite Imagery for Flood Disasters R. Hänsch, J. Arndt, D. Lunga, T. Pedelose, A. Boedihardjo, J. Pfefferkorn, D. Petrie, T.M. Bacastow, IGARSS 2023. |
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Deep Learning for Forest Canopy Height Estimation from SAR R.B. Mahesh, R. Haensch, IGARSS 2023. |
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Analysis-Ready Data and FAIR-AI - Standardization of Research Collaboration and Transparency Across Earth-Observation Communities [Technical Committees] D. Lunga, S. Ullo, U. Verma, G. Percivall, F. Pacifici, R. Hänsch, GRSM, 2023. |
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Computer Vision for Earth Observation—The First IEEE GRSS Image Analysis and Data Fusion School [Technical Committees] G. Vivone, D. Lunga, F. Sica, G. Taskin, U. Verma, R. Hänsch, GRSM, 2022. |
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Revealing influencing factors on global waste distribution via deep-learning based dumpsite detection from satellite imagery X. Sun, D. Yin, F. Qin, H. Yu, W. Lu, F. Yao, Q. He, X. Huang, Z. Yan, P. Wang, C. Deng, N. Liu, Y. Yang, W. Liang, R. Wang, C. Wang, N. Yokoya, R. Hänsch, K. Fu, Nature Communications, 2023. |
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2023 IEEE GRSS Data Fusion Contest: Large-Scale Fine-Grained Building Classification for Semantic Urban Reconstruction [Technical Committees] C. Persello, R. Hänsch, G. Vivone, K. Chen, Z. Yan, D. Tang, H. Huang, M. Schmitt, X. Sun, GRSM, 2023. |
Report on the 2022 IEEE Geoscience and Remote Sensing Society Data Fusion Contest: Semisupervised learning R. Hänsch, C. Persello, G. Vivone, J. Castillo Navarro, A. Boulch, S. Lefevre, B. Le Saux, GRSM, 2022. |
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The SpaceNet 8 Challenge-From Foundation Mapping to Flood Detection R. Haensch, J. Arndt, M. Gibb, A. Boedihardjo, T. Pedelose, T.M. Bacastow, IGARSS 2022. |
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Generalization in Object Recognition from SAR Imagery F. Sica, A. Pulella, C.V. Lopez, H. Anglberger, R. Haensch, IGARSS 2022. |
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EOD: the IEEE GRSS earth observation database M. Schmitt, P. Ghamisi, N. Yokoya, R. Haensch, IGARSS 2022. |
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Transcoding-based pre-training of semantic segmentation networks for PolSAR images R. Haensch, L. Bruzzone and A. Cattoi, EUSAR 2022. |
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Towards a Symbiosis of Model-Based and Machine Learning Forest Height Estimation based on TanDEM-X InSAR Islam Mansour, Konstantinos P. Papathanassiou, Ronny Haensch and Irena Hajnsek, EUSAR 2022. |
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The 2022 IEEE GRSS data fusion contest: Semisupervised learning [Technical Committees] R. Hänsch, C. Persello, G. Vivone, J.C. Navarro, A. Boulch, S. Lefevre, B. le Saux, GRSM, 2022. |
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The Outcome of the 2021 IEEE GRSS Data Fusion Contest - Track MSD: Multitemporal Semantic Change Detection Z. Li, F. Lu, H. Zhang, L. Tu, J. Li, X. Huang, C. Robinson, K. Malkin, N. Jojic, P. Ghamisi, R. Hänsch, N. Yokoya, JSTARS, 2022.
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Deep Learning and Earth Observation to Support the Sustainable Development Goals: Current Approaches, Open Challenges, and Future Opportunities C. Persello, J.-D. Wegner, R. Hänsch, D. Tuia, P. Ghamisi, M. Koeva, G. Camps-Valls, GRSM, 2022.
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Spacenet 8 - The detection of flooded roads and buildings R. Hänsch, J. Arndt, D. Lunga, M. Gibb, T. Pedelose, A. Boedihardjo, D. Petrie, T.M. Bacastow, CVPRW, 2022. |
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Urban Building Classification (UBC)-A Dataset for Individual Building Detection and Classification From Satellite Imagery X. Huang, L. Ren, C. Liu, Y. Wang, H. Yu, M. Schmitt, R. Hänsch, X. Sun, H. Huang, H. Mayer, CVPRW, 2022. |
Random Ferns for Semantic Segmentation of PolSAR Images Pengchao Wei, Ronny Hänsch, TGRS, 2021.
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The Outcome of the 2021 IEEE GRSS Data Fusion Contest - Track DSE: Detection of Settlements without electricity Ma, Yanbiao and Li, Yuxin and Feng, Kexin and Xia, Yu and Huang, Qi and Zhang, Hongyan and Prieur, Colin and Licciardi, Giorgio and Malha, Hana and Chanussot, Jocelyn and Ghamisi, Pedram and Hänsch, Ronny and Yokoya, Naoto, JSTARS, 2021.
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Report on the 2021 IEEE GRSS Data Fusion Contest - Geospatial AI for Social Good Naoto Yokoya, Pedram Ghamisi, Ronny Hänsch, Colin Prieur, Hana Malha, Jocelyn Chanussot, Caleb Robinson, Kolya Malkin, and Nebojsa Jojic, GRSM, 2021. |
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Automated High-Resolution Earth Observation Image Interpretation: Outcome of the 2020 Gaofen Challenge 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, and Kun Fu, JSTARS, 2021.
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The New Working Groups of the GRSS Technical Committee on Image Analysis and Data Fusion Michael Schmitt, Claudio Persello, Gemine Vivone, Dalton Lunga, Wenzhi Liao, Naoto Yokoya, Pedram Ghamisi, and Ronny Hänsch, GRSM, 2021.
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Machine Learning based Extraction of Electrical Substations from High Resolution Satellite Data: Outcome of the ICETCI 2021 Challenge G, Sreenivasan and Bajpai, Anju and D S, Prakasa Rao and T P, Girish Kumar and Shrivastava, Ashish and Das, Subrata N and Jha, C S and Hänsch, Ronny and Kranti B., Venkata and Chandra D, Nikhil and Patil, Renuka R and Devulapalli, Sita and Jacob I., Jeena and Singh, Saurabh and Chaube, Aarsh and Dubey, Ved and Garg, Naman and Kundu, Soumya Snigdha, ICETCI, 2021..
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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 Hänsch, IGARSS 2021.
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There is no data like more data--current status of machine learning datasets in remote sensing Michael Schmitt, Seyed Ali Ahmadi, Ronny Hänsch, IGARSS 2021.
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Semantic Segmentation of High-Resolution Airborne SAR Images using Tomographic Information Olivier D'Hondt, Ronny Haensch, Victor Cazcarra-Bes, and Olaf Hellwich, EUSAR 2021.
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ICESAR 2019–A Study on Sea Ice based on F-SAR XCL-Band Data Ralf Horn, Rolf Scheiber, Joel Amao-Oliva, Ronny Haensch, Felix Weinmann, Marc Jaeger, EUSAR 2021.
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Global Land-Cover Mapping With Weak Supervision: Outcome of the 2020 IEEE GRSS Data Fusion Contest Caleb Robinson, Kolya Malkin, Nebojsa Jojic, Huijun Chen, Rongjun Qin, Changlin Xiao, Michael Schmitt, Pedram Ghamisi, Ronny Hänsch, and Naoto Yokoya, JSTARS, 2021.
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2021 Data Fusion Contest: Geospatial Artificial Intelligence for Social Good [Technical Committees] Naoto Yokoya, Pedram Ghamisi, Ronny Hänsch, Colin Prieur, Hana Malha, Jocelyn Chanussot, Caleb Robinson, Kolya Malkin, and Nebojsa Jojic, GRSM, 2021.
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Large-Scale Semantic 3D Reconstruction: Outcome of the 2019 IEEE GRSS Data Fusion Contest-Part A Saket Kunwar, Hongyu Chen, Manhui Lin, Hongyan Zhang, Pablo Dangelo, Daniele Cerra, Seyed Majid Azimi, Myron Brown, Gregory Hager, Naoto Yokoya, Ronny Hänsch, Bertrand Le Saux, JSTARS 2020.
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Large-Scale Semantic 3D Reconstruction: Outcome of the 2019 IEEE GRSS Data Fusion Contest-Part B Yanchao Lian, Tuo Feng, Jinliu Zhou, Meixia Jia, Aijin Li, Zhaoyang Wu, Licheng Jiao, Myron Brown, Gregory Hager, Naoto Yokoya, Ronny Hänsch, Bertrand Le Saux, JSTARS.
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Report on the 2020 IEEE GRSS Data Fusion Contest-Global Land Cover Mapping With Weak Supervision [Technical Committees] Yokoya, Naoto, Ghamisi, Pedram, Hänsch, Ronny and Schmitt, Michael, GRSM 2020.
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Looking outside the box: The role of context in Random Forest based semantic segmentation of PolSAR images R. Hänsch, GCPR 2020.
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Unsupervised Clustering of C-Band PolSAR Data over Sea Ice Ronny Hänsch, Joel Amao, Ralf Horn, Marc Jäger, and Rolf Scheiber, IGARSS 2020.
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Stacked Random Forests: More accurate and better calibrated R. Hänsch, IGARSS 2020.
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Soil-Permittivity Estimation Under Grassland Using Machine-Learning and Polarimetric Decomposition Techniques Ronny Hänsch, Thomas Jagdhuber, Benjamin Fersch, TGRS 2020.
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2020 IEEE GRSS Data Fusion Contest: Global Land Cover Mapping With Weak Supervision [Technical Committees] Naoto Yokoya, Pedram Ghamisi, Ronny Haensch, Michael Schmitt, GRSM 2020.
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Fusion of Multispectral LiDAR, Hyperspectral, and RGB Data for Urban Land Cover Classification R. Hänsch and Olaf Hellwich, IEEE Geoscience and Remote Sensing Letters.
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LightCam: Enlightening the camera obscura - Where photogrammetry, computer and robotic vision meet R. Hänsch and Olaf Hellwich, ISPRS Congress 2020.
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Match or No Match: Keypoint Filtering Based on Matching Probability Alexandra Papadaki and Ronny Hänsch, CVPR WS 2020.
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SpaceNet 6: Multi-Sensor All Weather Mapping Dataset Jacob Shermeyer, Daniel Hogan, Jason Brown, Adam Van Etten, Nicholas Weir, Fabio Pacifici, Ronny Hänsch, Alexei Bastidas, Scott Soenen, Todd Bacastow, Ryan Lewis, CVPR WS 2020.
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The Truth About Ground Truth: Label Noise in Human-Generated Reference Data R. Hänsch and Olaf Hellwich, IGARSS 2019.
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Online Random Forests For Large-Scale Land-Use Classification From Polarimetric SAR Images Ronny Hänsch and Olaf Hellwich, IGARSS 2019.
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Advanced Multi-Sensor Optical Remote Sensing for Urban Land Use and Land Cover Classification: Outcome of the 2018 IEEE GRSS Data Fusion Contest Yonghao Xu, Bo Du, Liangpei Zhang, Daniele Cerra, Miguel Pato, Emiliano Carmona, Saurabh Prasad, Naoto Yokoya, R. Hänsch, and Bertrand Le Saux, IEEE Journal of selected topics in applied Earth Observations and Remote Sensing.
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2019 IEEE GRSS Data Fusion Contest: Large-Scale Semantic 3D Reconstruction Bertrand Le Saux, Naoto Yokoya, Ronny Hänsch, Myron Brown, Greg Hager, HakJae Kim, GRSM.
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A Digital Image Processing Pipeline for Modelling of Realistic Noise in Synthetic Images O. Bielova, R. Hänsch, A. Ley, O. HellwichThe IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops.
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Random Forests based Image Colorization Helge Mohn, Mark Gaebelein, Ronny Hänsch and Olaf Hellwich, Communications in Computer and Information Science.
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Online Random Forests for Urban Area Classification from Polarimetric SAR Images R. Hänsch and Olaf Hellwich, JURSE 2019..
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Colorful Trees: Visualizing Random Forests for Analysis and Interpretation R. Hänsch, P. Wiesner, S. Wendler, O. Hellwich, WACV 2019..
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Exploiting SAR Tomography for Supervised Land-Cover Classification O. D’Hondt, R. Hänsch, N. Wagener, O. Hellwich, Remote Sensing, 2018, 10(11), 1742..
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Report on the 2018 IEEE GRSS Data Fusion Contest - Advanced Multisource Optical Remote Sensing for Urban Land Use and Land Cover Classification B. Le Saux, N. Yokoya, R. Hänsch, S. Prasad, IEEE Geoscience and Remote Sensing Magazine.
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Machine learning methods for remote sensing applications: an overview K. Schulz, R. Hänsch, U. Sörgel, SPIE Remote Sensing 2018 Berlin, Germany, September 2018.
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A comparative evaluation of polarimetric distance measures within the Random Forest framework for the classification of PolSAR images R. Hänsch, O. Hellwich, IGARSS 2018 Valencia, Spain, July 2018.
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Feature Design for Classification from TomoSAR data O. D’Hondt, R. Hänsch, O. Hellwich, IGARSS 2018 Valencia, Spain, July 2018.
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Classification of Icon Type and Cooldown State in Video Game Replays J. Eichelbaum, R. Hänsch, O. Hellwich, ICIAR 2018 Póvoa de Varzim, Portugal, June 2018.
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Supervised classification from TomoSAR data O. D’Hondt, R. Hänsch, O. Hellwich, EUSAR 2018 Aachen, Germany, June 2018.
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Exploiting GAN-Based SAR to Optical Image Transcoding for Improved Classification via Deep Learning A. Ley, O. D’Hondt, S. Valade, R. Hänsch, O. Hellwich, EUSAR 2018 Aachen, Germany, June 2018.
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Faster Trees: Strategies for accelerated training and prediction of Random Forests for classification of PolSAR images R. Hänsch, O. Hellwich, ISPRS TCIII Midterm 2018 Beijing, China, May 2018.
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2018 IEEE GRSS Data Fusion Contest: Multi-modal land use classification B. Le Saux, N. Yokoya, R. Hänsch, S. Prasad, IEEE Geoscience and Remote Sensing Magazine.
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Classification of PolSAR Images by Stacked Random Forests R. Hänsch, O. Hellwich, ISPRS International Journal of Geo-Information.
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Towards Image Colorization with Random Forests H. Mohn, M. Gaebelein, R. Hänsch, O. Hellwich, VISAPP 2018 Funchal, Portugal, January 2018.
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Leveraging the Spatial Label Structure for Semantic Image Labeling using Random Forests M. Wöllhaf, R. Hänsch, O. Hellwich, VISAPP 2018 Funchal, Portugal, January 2018.
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Skipping the real world: Classification of PolSAR images without explicit feature extraction R. Hänsch, O. Hellwich, ISPRS Journal of Photogrammetry and Remote Sensing.
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Automatic Building Abstraction from Aerial Photogrammetry A. Ley, R. Hänsch, O. Hellwich, PhotoGA 2017 Wuhan, China, September 2017.
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Camera Based Detection of Pedestrians using Genetic Optimized Hough Forests M. Iwanczik, H. Türmer, R. Hänsch, A. Dehghani, FAST-zero '17 Nara, Japan, September 2017.
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Correct and still wrong: The relationship between sampling strategies and the estimation of the generalization error R. Hänsch, A. Ley, O. Hellwich, IGARSS 2017 Fort Worth, Texas, USA, July 2017.
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Near Real-time Object Detection in RGBD Data R. Hänsch, S. Kaiser, O. Hellwich, VISAPP 2017 Porto, Portugal, February 2017.
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Specularity, Shadow, and Occlusion Removal for Planar Objects in Stereo Case I. Nurutdinova, R. Hänsch, V. Mühler, S. Bourou, A.I. Papadaki, O. Hellwich, VISAPP 2017 Porto, Portugal, February 2017.
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SyB3R: A Realistic Synthetic Benchmark for 3D Reconstruction from Images A. Ley, R. Hänsch, O. Hellwich, ECCV 2016, Vol. VII, pp. 236-251, October 2016.
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Task-dependent Band-Selection of Hyperspectral Images by Projection-Based Random Forests R. Hänsch, O. Hellwich, ISPRS 2016, Vol. III-7, pp. 263-270, July 2016.
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Modern Methods of Bundle Adjustment on the GPU R. Hänsch, I. Drude, O. Hellwich, ISPRS 2016, Vol. III-3, pp. 43-50, July 2016.
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Reconstructing White Walls: Multi-View, Multi-Shot 3D Reconstruction of Textureless Surfaces A. Ley, R. Hänsch, O. Hellwich, ISPRS 2016, Vol. III-3, pp. 91-98, July 2016.
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Machine-Learning based detection of corresponding interest points in optical and SAR images R. Hänsch, O. Hellwich, IGARSS 2016, pp. 1492-1495, July 2016.
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When to fuse what? Random Forest based fusion of low-, mid-, and high-level information for land cover classification from optical and SAR images R. Hänsch, O. Hellwich, IGARSS 2016, pp. 3587-3590, July 2016.
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Automated image analysis for trajectory determination of single drop collisions J. Kamp, R. Hänsch, G. Kendzierski, M. Kraume, O. Hellwich, Computers and Chemical Engineering, Vol. 89, 9, pp. 184-191, April 2016.
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Human Recognition in RGBD combining Object Detectors and Conditional Random Fields K. Amplianitis, R. Hänsch, R. Reulke, VISAPP 2016 Rome, Italy, February 2016.
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Evaluation of tree creation methods within Random Forests for classification of PolSAR images R. Hänsch, O. Hellwich, IGARSS 2015 Milan, Italy, July 2015.
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Automatisierte Bilddatenanalyse zeitlich hochaufgelöster Tropfenkollisions- und Koaleszenzereignisse J. Kamp, R. Hänsch, G. Kendzierski, O. Hellwich, and M. KraumeChemie Ingenieur Technik.
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Feature-independent classification of hyperspectral images by Projection-Based Random Forests R. Hänsch, O. Hellwich, WHISPERS 2015 Tokyo, Japan, June 2015.
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Performance Assessment and Interpretation of Random Forests by Three-Dimensional Visualizations R. Hänsch, O. Hellwich, IVAPP 2015 - Proceedings of the International Conference on Information Visualization Theory and Applications Berlin, Germany, March 2015.
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Prior Knowledge about Camera Motion for Outlier Removal in Feature Matching E.K. Stathopoulou, R. Hänsch, O. Hellwich, VISAPP 2015 - Proceedings of the International Conference on Computer Vision Theory and Applications Berlin, Germany, March 2015.
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Automatic registration of unordered point clouds acquired by Kinect sensors using an overlap heuristic T. Weber, R. Hänsch, O. Hellwich, ISPRS Journal of Photogrammetry and Remote Sensing, Volume 102, April 2015, Pages 96-109.
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Comparison of 3D Interest Point Detectors and Descriptors for Point Cloud Fusion Hänsch, R., Weber, T. & Hellwich, O., ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences 2014, pp. 57-64, Zurich, Switzerland, September 2014.
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Security Impact of High Resolution Smartphone Cameras Fiebig, T., Hänsch, R. & Krissler, J., Proceedings of the 23rd USENIX Security Symposium 2014, San Diego, USA, August 2014.
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Graph-Cut Segmentation of Polarimetric SAR Images Hänsch, R., Hellwich, O. & Wang, X., Proceedings of the IGARSS 2014, pp. 1733-1736, Quebec, Canada, July 2014.
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Comparison of different Color Spaces for Image Segmentation using Graph-Cut Wang, X., Hänsch, R., Hellwich, O., Proceedings of the 9th International Conference on Computer Vision Theory and Applications, VISAPP 2014, pp. 301-308, Lisbon, Portugal, January 2014.
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Integrated Matching and Geocoding of SAR and Optical Satellite Images Hellwich, O., Wefelscheid, C., Lukaszewicz, J., Hänsch, R., Siddique, M.A. and Stanski, A., Proceedings of 6th Iberian Conference, ibPRIA 2013, Madeira, Portugal, June 2013.
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Impact of Hierarchical Structures in Image Categorization Systems Klaghstan, M., Hänsch, R. und Hellwich, O., Proceedings of IPTA 2012, Turkey, Istanbul, October 2012.
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Automated drop detection using image analysis for online particle size monitoring in multiphase systems Maaß, S., Rojahn, J., Hänsch, R. and Kraume, M., Computers and Chemical Engineering, Vol. 45, pp. 27-37, October 2012.
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Three-Dimensional Building Reconstruction Using Images Obtained By Unmanned Aerial Vehicles Wefelscheid, C., Hänsch, R. and Hellwich, O., Proceedings of the International Conference on Unmanned Aerial Vehicle in Geomatics (UAV-g) 2011, Editors: H. Eisenbeiss, M. Kunz and H. Ingensand, Zurich, Switzerland, September 2011.
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Color Textons for Building Detection Hänsch, R. and Hellwich, O., The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. XXXVIII-4/W19, Hannover, Germany, June 2011.
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Building Detection From One Orthophoto and High-Resolution InSAR Data Using Conditional Random Fields Hänsch, R., Wegner, J.D., Thiele, A. and Soergel, U., IEEE Journal of selected topics in applied Earth Observations and Remote Sensing, Vol. 4(1), pp. 83-91, March 2011.
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Complex-Valued Multi-Layer Perceptrons - An Application to Polarimetric SAR data Hänsch, R., PE&RS, Photogrammetric Engineering & Remote Sensing Journal, 76(9):1081-1088, 2010.
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Random Forests for Building Detection in Polarimetric SAR data Hänsch, R. and Hellwich, O., Proceedings of IGARRS 2010, Hawaii, USA, pp. 460-463, July 2010.
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Convolutional Complex-Valued Neural Networks for Object Detection in PolSAR data Hänsch, R. and Hellwich, O., Proceedings of EUSAR 2010, VDE, Aachen,Germany, pp. 877-880, June 2010.
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Fusion of high-resolution InSAR data and optical imagery for building detection using Conditional Random Fields Hänsch, R., Wegner, J.-D., Thiele, A. and Sörgel, U., Proceedings of EUSAR 2010, VDE, Aachen, Germany, pp. 1090-1093, June 2010.
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Semi-Supervised Learning For Classification of Polarimetric SAR-Data Hänsch, R. and Hellwich, O., Proceedings of IGARSS 2009, Capetown, South Africa, July 2009.
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Classification of Polarimetric SAR Data by Complex Valued Neural Networks Hänsch, R. and Hellwich, O., Prodeedings of ISPRS Workshop 2009, Volume XXXVIII, Part 1-4-7/W5, Hannover, Germany, June 2009.
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Weighted Pyramid Linking for Segmentation of Fully-Polarimetric SAR Data Hänsch, R., Jäger, M. and Hellwich, O., XXI Congress of the Int. Society for Photogrammetry and Remote Sensing (ISPRS), Int. Archives of Photogrammetry and Remote Sensing, vol. XXXVII, Beijing, China, July 2008.
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Clustering by deterministic annealing and Wishart based distance measures for fully-polarimetric SAR-data Hänsch, R., Jäger, M. and Hellwich, O., Proceedings of EUSAR 2008, Volume 3, Friedrichshafen, Germany, pp. 419-422, June 2008
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