| Automated drop detection using image analysis for online particle size monitoring in multiphase systems S Maaß, J Rojahn, R Hänsch, M Kraume Computers & chemical engineering 45, 27-37, 2012 | 105 | 2012 |
| Building detection from one orthophoto and high-resolution InSAR data using conditional random fields JD Wegner, R Hänsch, A Thiele, U Soergel IEEE Journal of selected topics in applied Earth Observations and Remote …, 2010 | 99 | 2010 |
| Comparison of 3D interest point detectors and descriptors for point cloud fusion R Hänsch, T Weber, O Hellwich ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2014 | 81 | 2014 |
| Advanced multi-sensor optical remote sensing for urban land use and land cover classification: Outcome of the 2018 IEEE GRSS data fusion contest Y Xu, B Du, L Zhang, D Cerra, M Pato, E Carmona, S Prasad, N Yokoya, ... IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2019 | 65 | 2019 |
| Three-dimensional building reconstruction using images obtained by unmanned aerial vehicles C Wefelscheid, R Hänsch, O Hellwich International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2011 | 54 | 2011 |
| 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 102, 96-109, 2015 | 43 | 2015 |
| Comparison of different color spaces for image segmentation using graph-cut X Wang, R Hänsch, L Ma, O Hellwich 2014 International Conference on Computer Vision Theory and Applications …, 2014 | 42 | 2014 |
| Complex-valued convolutional neural networks for object detection in PolSAR data R Hänsch, O Hellwich 8th European Conference on Synthetic Aperture Radar, 1-4, 2010 | 41 | 2010 |
| Security impact of high resolution smartphone cameras T Fiebig, J Krissler, R Hänsch 8th {USENIX} Workshop on Offensive Technologies ({WOOT} 14), 2014 | 34 | 2014 |
| 2019 data fusion contest [technical committees] B Le Saux, N Yokoya, R Hansch, M Brown, G Hager IEEE Geoscience and Remote Sensing Magazine 7 (1), 103-105, 2019 | 28 | 2019 |
| Skipping the real world: Classification of PolSAR images without explicit feature extraction R Hänsch, O Hellwich ISPRS Journal of Photogrammetry and Remote Sensing 140, 122-132, 2018 | 25 | 2018 |
| Classification of polarimetric SAR data by complex valued neural networks R Hänsch, O Hellwich ISPRS workshop high-resolution earth imaging for geospatial information 38, 4-7, 2009 | 22 | 2009 |
| Exploiting GAN-based SAR to optical image transcoding for improved classification via deep learning A Ley, O Dhondt, S Valade, R Haensch, O Hellwich EUSAR 2018; 12th European Conference on Synthetic Aperture Radar, 1-6, 2018 | 21 | 2018 |
| Complex-valued multi-layer perceptrons–an application to polarimetric SAR data R Hänsch Photogrammetric Engineering & Remote Sensing 76 (9), 1081-1088, 2010 | 20 | 2010 |
| Correct and still wrong: The relationship between sampling strategies and the estimation of the generalization error R Hänsch, A Ley, O Hellwich 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2017 | 19 | 2017 |
| 2018 IEEE GRSS data fusion contest: Multimodal land use classification [technical committees] B Le Saux, N Yokoya, R Hansch, S Prasad IEEE geoscience and remote sensing magazine 6 (1), 52-54, 2018 | 17 | 2018 |
| Syb3r: A realistic synthetic benchmark for 3d reconstruction from images A Ley, R Hänsch, O Hellwich European Conference on Computer Vision, 236-251, 2016 | 17 | 2016 |
| Generic object categorization in PolSAR images-and beyond R Hänsch | 15 | 2014 |
| Semi-supervised learning for classification of polarimetric SAR-data R Hänsch, O Hellwich 2009 IEEE International Geoscience and Remote Sensing Symposium 3, III-987 …, 2009 | 13 | 2009 |
| SpaceNet 6: Multi-sensor all weather mapping dataset J Shermeyer, D Hogan, J Brown, A Van Etten, N Weir, F Pacifici, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 11 | 2020 |
Olaf HellwichProfessor of Computer Vision & Remote Sensing, TU Berlin確認したメール アドレス: tu-berlin.de
