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Ksenia Bittner
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2020 – today
- 2024
- [j6]Yajin Xu, Juilson Jubanski, Ksenia Bittner, Florian Siegert:
Roof plane parsing towards LoD-2.2 building reconstruction based on joint learning using remote sensing images. Int. J. Appl. Earth Obs. Geoinformation 133: 104096 (2024) - [c15]Vasudha Venkatesan, Daniel Panangian, Mario Fuentes Reyes, Ksenia Bittner:
SyntStereo2Real: Edge-Aware GAN for Remote Sensing Image-to-Image Translation while Maintaining Stereo Constraint. CVPR Workshops 2024: 512-521 - [c14]Philipp Schuegraf, Dorothee Stiller, Jiaojiao Tian, Thomas Stark, Michael Wurm, Hannes Taubenböck, Ksenia Bittner:
Ai-Based Building Instance Segmentation in Formal and Informal Settlements. IGARSS 2024: 1558-1561 - [c13]Ksenia Bittner, Michael Recla, Stefan Auer, Michael Schmitt:
Enhancing Building Shape Details Through Deep Learning in Single-Image SAR-Based DSM. IGARSS 2024: 2625-2629 - [i8]Daniel Panangian, Ksenia Bittner:
Real-GDSR: Real-World Guided DSM Super-Resolution via Edge-Enhancing Residual Network. CoRR abs/2404.03930 (2024) - [i7]Vasudha Venkatesan, Daniel Panangian, Mario Fuentes Reyes, Ksenia Bittner:
SyntStereo2Real: Edge-Aware GAN for Remote Sensing Image-to-Image Translation while Maintaining Stereo Constraint. CoRR abs/2404.09277 (2024) - 2023
- [j5]Philipp Schuegraf, Stefano Zorzi, Friedrich Fraundorfer, Ksenia Bittner:
Deep Learning for the Automatic Division of Building Constructions Into Sections on Remote Sensing Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 7186-7200 (2023) - [c12]Yajin Xu, Philipp Schuegraf, Ksenia Bittner:
Vertex Aided Building Polygonization from Satellite Imagery Applying Deep Learning. JURSE 2023: 1-4 - 2021
- [c11]Yi Wang, Stefano Zorzi, Ksenia Bittner:
Machine-Learned 3D Building Vectorization From Satellite Imagery. CVPR Workshops 2021: 1072-1081 - [i6]Yi Wang, Stefano Zorzi, Ksenia Bittner:
Machine-learned 3D Building Vectorization from Satellite Imagery. CoRR abs/2104.06485 (2021) - 2020
- [c10]Stefano Zorzi, Ksenia Bittner, Friedrich Fraundorfer:
Machine-learned Regularization and Polygonization of Building Segmentation Masks. ICPR 2020: 3098-3105 - [c9]Stefano Zorzi, Ksenia Bittner, Friedrich Fraundorfer:
Map-Repair: Deep Cadastre Maps Alignment and Temporal Inconsistencies Fix in Satellite Images. IGARSS 2020: 1829-1832 - [c8]Maximilian Langheinrich, Ksenia Bittner, Peter Reinartz:
GAN-Generated Elevation Models in Computational Fluid Dynamics: A Feasibility Study for Complex Urban Terrain. IGARSS 2020: 5302-5305 - [c7]Daniele Cerra, Nina Merkle, Corentin Henry, Kevin Alonso, Pablo d'Angelo, Stefan Auer, Reza Bahmanyar, Xiangtian Yuan, Ksenia Bittner, Maximilian Langheinrich, Guichen Zhang, Miguel Pato, Jiaojiao Tian, Peter Reinartz:
Stepwise Refinement Of Low Resolution Labels For Earth Observation Data: Part 1. IGARSS 2020: 7054-7057 - [c6]Daniele Cerra, Nina Merkle, Corentin Henry, Kevin Alonso, Pablo d'Angelo, Stefan Auer, Reza Bahmanyar, Xiangtian Yuan, Ksenia Bittner, Maximilian Langheinrich, Guichen Zhang, Miguel Pato, Jiaojiao Tian, Peter Reinartz:
Stepwise Refinement Of Low Resolution Labels For Earth Observation Data: Part 2. IGARSS 2020: 7066-7069 - [i5]Lukas Liebel, Ksenia Bittner, Marco Körner:
A Generalized Multi-Task Learning Approach to Stereo DSM Filtering in Urban Areas. CoRR abs/2004.02493 (2020) - [i4]Stefano Zorzi, Ksenia Bittner, Friedrich Fraundorfer:
Map-Repair: Deep Cadastre Maps Alignment and Temporal Inconsistencies Fix in Satellite Images. CoRR abs/2007.12470 (2020) - [i3]Stefano Zorzi, Ksenia Bittner, Friedrich Fraundorfer:
Machine-learned Regularization and Polygonization of Building Segmentation Masks. CoRR abs/2007.12587 (2020)
2010 – 2019
- 2019
- [b1]Ksenia Bittner:
Building information extraction and refinement from VHR satellite imagery using deep learning techniques. University of Osnabrück, Germany, 2019, pp. 1-164 - [j4]Philipp Schuegraf, Ksenia Bittner:
Automatic Building Footprint Extraction from Multi-Resolution Remote Sensing Images Using a Hybrid FCN. ISPRS Int. J. Geo Inf. 8(4): 191 (2019) - [j3]Ksenia Bittner, Marco Körner, Friedrich Fraundorfer, Peter Reinartz:
Multi-Task cGAN for Simultaneous Spaceborne DSM Refinement and Roof-Type Classification. Remote. Sens. 11(11): 1262 (2019) - [c5]Ksenia Bittner, Peter Reinartz, Marco Körner:
Late or Earlier Information Fusion From Depth and Spectral Data? Large-Scale Digital Surface Model Refinement by Hybrid-CGAN. CVPR Workshops 2019: 1471-1478 - [c4]Ksenia Bittner, Marco Körner, Peter Reinartz:
DSM Building Shape Refinement from Combined Remote Sensing Images Based on WNET-CGANS. IGARSS 2019: 783-786 - [c3]Pablo d'Angelo, Ksenia Bittner, Thomas Krauß, Peter Reinartz, Daniele Cerra, Seyed Majid Azimi, Nina Merkle, Jiaojiao Tian, Stefan Auer, Miguel Pato, Raquel de los Reyes, Xiangyu Zhuo:
3D Semantic Segmentation from Multi-View Optical Satellite Images. IGARSS 2019: 5053-5056 - [i2]Ksenia Bittner, Marco Körner, Peter Reinartz:
DSM Building Shape Refinement from Combined Remote Sensing Images based on Wnet-cGANs. CoRR abs/1903.03519 (2019) - [i1]Ksenia Bittner, Marco Körner, Peter Reinartz:
Late or Earlier Information Fusion from Depth and Spectral Data? Large-Scale Digital Surface Model Refinement by Hybrid-cGAN. CoRR abs/1904.09935 (2019) - 2018
- [j2]Ksenia Bittner, Pablo d'Angelo, Marco Körner, Peter Reinartz:
DSM-to-LoD2: Spaceborne Stereo Digital Surface Model Refinement. Remote. Sens. 10(12): 1926 (2018) - [j1]Ksenia Bittner, Fathalrahman Adam, Shiyong Cui, Marco Körner, Peter Reinartz:
Building Footprint Extraction From VHR Remote Sensing Images Combined With Normalized DSMs Using Fused Fully Convolutional Networks. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11(8): 2615-2629 (2018) - [c2]Ksenia Bittner, Marco Körner:
Automatic Large-Scale 3D Building Shape Refinement Using Conditional Generative Adversarial Networks. CVPR Workshops 2018: 1887-1889 - [c1]Daniele Cerra, Miguel Pato, Emiliano Carmona, Seyed Majid Azimi, Jiaojiao Tian, Reza Bahmanyar, Franz Kurz, Eleonora Vig, Ksenia Bittner, Corentin Henry, Pablo d'Angelo, Rupert Müller, Kevin Alonso, Peter Fischer, Peter Reinartz:
Combining Deep and Shallow Neural Networks with Ad Hoc Detectors for the Classification of Complex Multi-Modal Urban Scenes. IGARSS 2018: 3856-3859
Coauthor Index
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