Ronny Hänsch

Affiliations:
  • TU Berlin, Germany


According to our database1, Ronny Hänsch authored at least 52 papers between 2007 and 2021.

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Bibliography

2021
Soil-Permittivity Estimation Under Grassland Using Machine-Learning and Polarimetric Decomposition Techniques.
IEEE Trans. Geosci. Remote. Sens., 2021

Automated High-Resolution Earth Observation Image Interpretation: Outcome of the 2020 Gaofen Challenge.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

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., 2021

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., 2021

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., 2021

Fusion of Multispectral LiDAR, Hyperspectral, and RGB Data for Urban Land Cover Classification.
IEEE Geosci. Remote. Sens. Lett., 2021

The Trap Of Random Sampling and How to Avoid It - Alternative Sampling Strategies for a Realistic Estimate of the Generalization Error in Remote Sensing.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

There is No Data Like More Data - Current Status of Machine Learning Datasets in Remote Sensing.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Handbook of Random Forests - Theory and Applications for Remote Sensing
Series in Computer Vision, WorldScientific, ISBN: 9789813224070, 2021

2020
Foreword to the Special Issue on Computer Vision-Based Approaches for Earth Observation.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020

Unsupervised Clustering of C-Band Polsar Data Over Sea ICE.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Stacked Random Forests: More Accurate and Better Calibrated.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Looking Outside the Box: The Role of Context in Random Forest Based Semantic Segmentation of PolSAR Images.
Proceedings of the Pattern Recognition - 42nd DAGM German Conference, DAGM GCPR 2020, Tübingen, Germany, September 28, 2020

SpaceNet 6: Multi-Sensor All Weather Mapping Dataset.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Match or No Match: Keypoint Filtering based on Matching Probability.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
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., 2019

Colorful Trees: Visualizing Random Forests for Analysis and Interpretation.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Online Random Forests for Urban Area Classification from Polarimetric SAR Images.
Proceedings of the Joint Urban Remote Sensing Event, 2019

Online Random Forests For Large-Scale Land-Use Classification From Polarimetric Sar Images.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

The Truth About Ground Truth: Label Noise in Human-Generated Reference Data.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

A Digital Image Processing Pipeline for Modelling of Realistic Noise in Synthetic Images.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018
Exploiting SAR Tomography for Supervised Land-Cover Classification.
Remote. Sens., 2018

Classification of PolSAR Images by Stacked Random Forests.
ISPRS Int. J. Geo Inf., 2018

Leveraging the Spatial Label Structure for Semantic Image Labeling using Random Forests.
Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018), 2018

Towards Image Colorization with Random Forests.
Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018), 2018

A Comparative Evaluation of Polarimetric Distance Measures within the Random Forest Framework for the Classification of Polsar Images.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Feature Design for Classification from Tomosar Data.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Classification of Icon Type and Cooldown State in Video Game Replays.
Proceedings of the Image Analysis and Recognition - 15th International Conference, 2018

Random Forests Based Image Colorization.
Proceedings of the Computer Vision, Imaging and Computer Graphics Theory and Applications, 2018

2017
Specularity, Shadow, and Occlusion Removal for Planar Objects in Stereo Case.
Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 4: VISAPP, Porto, Portugal, February 27, 2017

Near Real-time Object Detection in RGBD Data.
Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 5: VISAPP, Porto, Portugal, February 27, 2017

Correct and still wrong: The relationship between sampling strategies and the estimation of the generalization error.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

2016
Automated image analysis for trajectory determination of single drop collisions.
Comput. Chem. Eng., 2016

Human Recognition in RGBD Combining Object Detectors and Conditional Random Fields.
Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016), 2016

Machine-learning based detection of corresponding interest points in optical and SAR images.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

When to fuse what? random forest based fusion of low-, mid-, and high-level information for land cover classification from optical and SAR images.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

SyB3R: A Realistic Synthetic Benchmark for 3D Reconstruction from Images.
Proceedings of the Computer Vision - ECCV 2016, 2016

2015
Feature-independent classification of hyperspectral images by projection-based random forests.
Proceedings of the 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2015

Prior Knowledge About Camera Motion for Outlier Removal in Feature Matching.
Proceedings of the VISAPP 2015, 2015

Evaluation of tree creation methods within random forests for classification of PolSAR images.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

Performance Assessment and Interpretation of Random Forests by Three-dimensional Visualizations.
Proceedings of the IVAPP 2015, 2015

2014
Generic object categorization in PolSAR images - and beyond.
PhD thesis, 2014

Security Impact of High Resolution Smartphone Cameras.
Proceedings of the 8th USENIX Workshop on Offensive Technologies, 2014

Comparison of Different Color Spaces for Image Segmentation using Graph-cut.
Proceedings of the VISAPP 2014, 2014

Graph-cut segmentation of polarimetric SAR images.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

2013
Integrated Matching and Geocoding of SAR and Optical Satellite Images.
Proceedings of the Pattern Recognition and Image Analysis - 6th Iberian Conference, 2013

2012
Automated drop detection using image analysis for online particle size monitoring in multiphase systems.
Comput. Chem. Eng., 2012

Impact of hierarchical structures in image categorization systems.
Proceedings of the 3rd International Conference on Image Processing Theory Tools and Applications, 2012

2011
Building Detection From One Orthophoto and High-Resolution InSAR Data Using Conditional Random Fields.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2011

2010
Random Forests for building detection in polarimetric SAR data.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010

2009
Semi-supervised Learning for Classification of Polarimetric SAR-Data.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2009

2007
A distributed approach to efficient time-domain SAR processing.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2007


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