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Nina Merkle
Nina Merkle
Verified email at dlr.de
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Cited by
Year
Road segmentation in SAR satellite images with deep fully convolutional neural networks
C Henry, SM Azimi, N Merkle
IEEE Geoscience and Remote Sensing Letters 15 (12), 1867-1871, 2018
2212018
Exploring the potential of conditional adversarial networks for optical and SAR image matching
N Merkle, S Auer, R Mueller, P Reinartz
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2018
1592018
Sar-to-optical image translation based on conditional generative adversarial networks—Optimization, opportunities and limits
M Fuentes Reyes, S Auer, N Merkle, C Henry, M Schmitt
Remote Sensing 11 (17), 2067, 2019
1402019
Exploiting deep matching and SAR data for the geo-localization accuracy improvement of optical satellite images
N Merkle, W Luo, S Auer, R Müller, R Urtasun
Remote Sensing 9 (6), 586, 2017
1182017
Deep learning for SAR-optical image matching
LH Hughes, N Merkle, T Bürgmann, S Auer, M Schmitt
IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019
382019
On the possibility of conditional adversarial networks for multi-sensor image matching
N Merkle, P Fischer, S Auer, R Müller
2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2017
302017
Automated building segmentation and damage assessment from satellite images for disaster relief
X Yuan, SM Azimi, C Henry, V Gstaiger, M Codastefano, M Manalili, ...
The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2021
112021
A new approach for optical and sar satellite image registration
N Merkle, R Müller, P Schwind, G Palubinskas, P Reinartz
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2015
112015
An efficient inverse radiotherapy planning method for VMAT using quadratic programming optimization
W Hoegele, R Loeschel, N Merkle, P Zygmanski
Medical Physics 39 (1), 444-454, 2012
112012
Registration of optical and sar satellite images based on geometric feature templates
N Merkle, R Müller, P Reinartz
92015
Citywide estimation of parking space using aerial imagery and OSM data fusion with deep learning and fine-grained annotation
C Henry, J Hellekes, N Merkle, SM Azimi, F Kurz
The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2021
82021
3D semantic segmentation from multi-view optical satellite images
P d’Angelo, D Cerra, SM Azimi, N Merkle, J Tian, S Auer, M Pato, ...
IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019
62019
An Evolutionary Algorithm for fast intensity based image matching between optical and SAR imagery
P Fischer, P Schuegraf, NM Merkle, T Storch
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2018
62018
User-driven flood response & monitoring information–Key findings of the Data4Human project
A Schneibel, N Merkle, M Wieland, K Lechner, S Azimi, F Henkel, C Henry, ...
2022 IEEE Global Humanitarian Technology Conference (GHTC), 46-53, 2022
42022
Parking space inventory from above: Detection on aerial images and estimation for unobserved regions
J Hellekes, A Kehlbacher, ML Díaz, N Merkle, C Henry, F Kurz, ...
IET Intelligent Transport Systems 17 (5), 1009-1021, 2023
32023
Real-time aerial imagery for crisis management: Lessons learned from an European civil protection exercise
NM Merkle, V Gstaiger, E Schröter, P d'Angelo, S Azimi, U Kippnich, ...
The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2020
32020
DLRAD—A first look on the new vision and mapping benchmark dataset
F Kurz, D Waigand, P Pekezou-Fouopi, E Vig, H Corentin, N Merkle, ...
Proceedings of the ISPRS TC1 Symposium—Accepted Contribution, Hannover …, 2018
32018
AD-HOC Situational Awareness During Floods Using Remote Sensing Data and Machine Learning Methods
M Wieland, N Merkle, A Schneibel, C Henry, K Lechner, X Yuan, ...
IGARSS 2023-2023 IEEE International Geoscience and Remote Sensing Symposium …, 2023
22023
Drones4Good: Supporting Disaster Relief Through Remote Sensing and AI
N Merkle, R Bahmanyar, C Henry, SM Azimi, X Yuan, S Schopferer, ...
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
22023
Aus dem All und aus der Luft frisch auf den (Lage-) Tisch: Der Nutzen von Luft-und Satellitendaten für die Lageerfassung
V Gstaiger, N Merkle, D Rosenbaum, M Wieland, K Lechner, U Kippnich
Im Einsatz, 56-61, 2022
22022
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